CN112729012A - Equivalent closed loop interference rate compensation self-stabilization control method under geodetic coordinates - Google Patents

Equivalent closed loop interference rate compensation self-stabilization control method under geodetic coordinates Download PDF

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CN112729012A
CN112729012A CN202011517103.7A CN202011517103A CN112729012A CN 112729012 A CN112729012 A CN 112729012A CN 202011517103 A CN202011517103 A CN 202011517103A CN 112729012 A CN112729012 A CN 112729012A
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azimuth
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sliding mode
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CN112729012B (en
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李伟
任海波
韩磊
位红军
马捷
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Northwest Institute Of Mechanical & Electrical Engineering
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F41WEAPONS
    • F41GWEAPON SIGHTS; AIMING
    • F41G5/00Elevating or traversing control systems for guns
    • F41G5/06Elevating or traversing control systems for guns using electric means for remote control
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    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance

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Abstract

The invention provides an equivalent closed loop interference rate compensation self-stabilization control method under geodetic coordinates, which comprises the steps of collecting a course angle, a pitch angle and a roll angle of an SINS (strapdown inertial navigation system), and altitude and azimuth angles, altitude and azimuth motor shaft angles and angular velocities of an artillery; collecting angular velocity values of an SINS gyroscope group, a turret gyroscope group and an artillery pitching gyroscope; calculating the pointing, direction and height control strategies of the artillery barrel under the geodetic coordinate system; then, carrying out filtering correction on the interference angular rate, and combining a rate control command for stable control and an interference compensation angular rate control command as a speed total command for servo drive; and finally, calculating to obtain a current loop control instruction so as to drive the motor to control the gun turning motion according to the given control quantity. The invention can improve the stability and control precision of the control system.

Description

Equivalent closed loop interference rate compensation self-stabilization control method under geodetic coordinates
Technical Field
The invention belongs to the field of artillery stability control systems, and mainly relates to a control method of an artillery follow-up system requiring accurate stability and tracking under a high dynamic base.
Background
With the development and evolution of military combat, new military operation needs to suppress the capability of shooting weapons during advancing urgently, and self-propelled artillery needs to be capable of following the operation to the static and dynamic operation tasks. Then the artillery needs to overcome the disturbance of the vehicle body caused by the walking road surface under the control of the stabilizing system, and the directional stability of the artillery is kept. Such functions have long been realized in the gun control systems of tank weapons and amphibious assault guns. However, the firing angle of the tank gun and the amphibious assault gun is lower than 20 degrees (under a vehicle body coordinate system), the absolute speed and the turning acceleration of gun turning are not large, the direction and the height are small, the full-closed loop control is adopted, the maximum error of the direction control is 1.2mil, and the effective direct-aiming range is generally 2-3 km. In order to meet the requirement of an amphibious pressed artillery designed for aiming between more than 10km and under a high dynamic state of a movable base, the direction of an artillery barrel is directly measured by using Strapdown Inertial Navigation (SINS), aiming accuracy is ensured, the stable system of the artillery adopts the navigation attitude of the SINS as the spatial angular position feedback of the follow-up system aiming control of the artillery, a transmission mechanism is contained in a control closed ring in a nonlinear mode, and the system generates oscillation within a small control error due to the influence of nonlinear factors, so that the accuracy of a conventional firing point is seriously influenced. Therefore, the speed reducing mechanism of the type can not realize the stability of speed closed-loop control by using a gyroscope, can only realize the stability by adopting the interference rate compensation, exerts the advantage of open-loop control and is slightly influenced by the nonlinearity of the mechanism. But the fully closed loop controlled artillery realizes the stability of the artillery with the firing angle larger than 45 degrees under the geodetic coordinate system, the relative rotation speed of the azimuth artillery is close to 40 degrees/s, and the rotation angle acceleration even exceeds 160 degrees/s2The higher the acceleration is, the harder the transmission mechanism is to bear the self elastic impact to cause vibration, and the stability of the control system is influenced. To realize high-precision and stable artillery, high requirements are put forward on the transmission performance (rigidity and tooth clearance) of a system speed reducing mechanism. The performance of the speed reducer has a decisive effect on the stability and the precision of the artillery.
In summary, in the self-stabilization control system based on the full closed-loop interference rate under the geodetic coordinate system under the condition of the movable base in the prior art, the accuracy of the stabilization system is greatly influenced by the nonlinear backlash and elasticity in the transmission mechanism, and the self-stabilization control system is difficult to apply under the conditions of high speed and high angular speed.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an equivalent closed-loop interference rate compensation self-stabilization control method under a geodetic coordinate, which can improve the stability and the control precision of a control system.
The technical scheme adopted by the invention for solving the technical problem comprises the following steps:
(1) setting an initial value of a control step number i as 0; setting control or sampling periods, and adding 1 to the step number i of each control or sampling period;
(2) acquiring attitude heading angle psi of SINS on vehicle bodyb(i),θb(i),
Figure BDA0002848317310000021
Wherein psib(i)、θb(i)、
Figure BDA0002848317310000022
Respectively is a course angle, a pitch angle and a roll angle of inertial navigation;
(3) collecting the measured value epsilon of high and low signal receiving instrumentb(i) And the measured value beta of the orientation receiverb(i);
(4) Collecting the angle value epsilon of the high and low motor shaftsm(i) And its angular velocity omegaε(i) Azimuth motor shaft angle value betam(i) And its angular velocity omegaβ(i);
(5) Three-axis angular rate omega measured by gyro set for acquiring SINSb(j)=[ωb1(j),ωb2(j),ωb3(j)]T
(6) Acquiring triaxial angular rate omega measured by turret gyroscope grouph(j)=[ωh1(j),ωh2(j),ωh3(j)]T
(7) Collecting angular rate omega measured by artillery pitching gyroscopep(j);
(8) Calculating the direction of the gun barrel in the space through the equivalent closed-loop angle of the height and direction signal receiving instrument;
(9) judging whether artillery aiming azimuth control command psi under geodetic coordinates is received at the same timeref(j)、High-low control instruction thetaref(j) If yes, entering the step (10); otherwise, turning to the step (12);
(10) calculating an azimuth position control strategy, which comprises an azimuth position control error, an azimuth speed instruction, an azimuth sliding mode equivalent control quantity, an azimuth sliding mode variable structure control quantity and an azimuth sliding mode control switching control quantity;
(11) calculating a high-low position control strategy, which comprises a high-low position control error, a high-low speed instruction, a high-low sliding mode equivalent control quantity, a high-low sliding mode variable structure control quantity and a high-low sliding mode control switching control quantity;
(12) calculating high and low compensation angular rates and azimuth interference compensation angular rates;
(13) calculating a high-low interference filtering correction value and an azimuth interference filtering correction value;
(14) calculating the total speed command of high and low servo and the total speed command of azimuth servo drive;
(15) calculating a current instruction of azimuth driving;
(16) calculating a current instruction of high and low driving;
(17) and (3) setting the driver to work in a torque mode, sending a current instruction to the servo driver through the CAN bus, and turning to the step (1).
The step (8) calculates the direction of the gun barrel in the space through the equivalent closed-loop angle of the height and direction receiver,
Figure BDA0002848317310000031
Figure BDA0002848317310000032
Figure BDA0002848317310000033
Figure BDA0002848317310000034
Figure BDA0002848317310000035
wherein psi (i) is the heading angle of the gun barrel, theta (i) is the pitch angle of the gun barrel,
Figure BDA0002848317310000036
is the roll angle, psi' of the gun barrel,
Figure BDA0002848317310000037
In order to calculate the intermediate variables in the process,
Figure BDA0002848317310000038
is a matrix of the postures of the cannon barrel,
Figure BDA0002848317310000039
Figure BDA00028483173100000310
Figure BDA00028483173100000311
Figure BDA00028483173100000312
Figure BDA00028483173100000313
wherein the content of the first and second substances,
Figure BDA00028483173100000314
is a matrix of the posture of the vehicle body,
Figure BDA00028483173100000315
is a vehicle body course attitude matrix,
Figure BDA00028483173100000316
is a matrix of the pitching attitude of the vehicle body,
Figure BDA00028483173100000317
is a matrix of the rolling attitude of the vehicle body,
Figure BDA00028483173100000318
is a matrix of the orientation and the posture of the artillery,
Figure BDA00028483173100000319
and the pitching attitude matrix of the artillery is obtained.
Said step (10) calculating an azimuth position control strategy,
eβ(i)=ψref(i)-ψ(i)
Figure BDA0002848317310000041
Figure BDA0002848317310000042
Figure BDA0002848317310000043
vβ(i)=-ksgn(s)-κs
Figure BDA0002848317310000044
Figure BDA0002848317310000045
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z0lβ(j-1)-eβ(j-1)|0.5sgn(z(j-1)-eβ(j-1))
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z(j-1)-v|0.5sgn(z(j-1)-v)
Figure BDA0002848317310000047
wherein: e.g. of the typeβ(i) Controlling the error for the azimuth position;
Figure BDA0002848317310000046
is an azimuth speed instruction; u. ofpβmax,upβminThe upper and lower limit amplitude values of the azimuth rotating speed are obtained; j. the design is a squareThe azimuth turret moment of inertia; etaβAn azimuth drive ratio; k is a radical ofβAzimuth drive stiffness; u. ofeqβ(i) Is an azimuth sliding mode equivalent control quantity; u. ofswβ(i) Azimuth sliding mode variable structure control quantity; bβIs the azimuthal friction coefficient; alpha is alphaβDriving the backlash for azimuth; ε (Δ β)m) Fitting a non-linear function for the azimuth backlash; delta betamIs the difference between the azimuth motor shaft and the azimuth angle measurement value; beta is am(i) Is the azimuth motor shaft angle; c. C,cAre the first and second order coefficients of the orientation sliding mode, alphaRespectively are a first order index and a second order index of the azimuth sliding mode; t issIs a sampling period; tau is a backlash fitting coefficient; sA sliding surface defined for orientation control; v. ofβ(i) Controlling the switching control quantity for the direction sliding mode; z is a radical of(j),z(j),z(j) Respectively, azimuth position control error eβ(i) 0, first, second order estimate of (lambda)Respectively 0 th, first and second order coefficients, v, of its state estimate,vRespectively, intermediate variables in the state estimation; t isβIs the azimuth filter time constant; k is a radical ofIs the orientation sliding mode stability factor, kappaIs the orientation sliding mode convergence coefficient.
The step (11) calculates the high-low position control strategy
eε(i)=θref(i)-θ(i)
Figure BDA0002848317310000051
Figure BDA0002848317310000052
Figure BDA0002848317310000053
vε(i)=-ksgn(s)-κs
Figure BDA0002848317310000054
Figure BDA0002848317310000055
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z0lε(j-1)-eε(j-1)|0.5sgn(z(j-1)-eε(j-1))
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z(j-1)-v|0.5sgn(z(j-1)-v)
z(j)=Ts[-λsgn(z(j-1)-v)]+z(j-1)
Wherein: e.g. of the typeε(i) Controlling the error for the high and low positions;
Figure BDA0002848317310000056
a high and low speed command; u. ofpεmax,upεminThe amplitude values of the upper limit and the lower limit of the high and low rotating speeds are obtained; j. the design is a squareHigh and low turret moment of inertia; etaεThe transmission speed ratio is high and low; k is a radical ofεHigh and low transmission stiffness; u. ofeqε(i) The method comprises the steps of (1) obtaining equivalent control quantity of a high-low sliding mode; u. ofswε(i) Variable structure control variable of high and low sliding modes; bεHigh and low friction coefficients; alpha is alphaεThe gear backlash is high-low transmission gear backlash; ε (Δ ε)m) Fitting a nonlinear function for the high and low backlash; epsilonm(i) The angle of the motor shaft is high or low; delta epsilonmThe angle difference between the high and low motor shafts and the high and low angle measurement is obtained; c. C,cRespectively a first and a second order coefficient of high and low sliding modes, alphaRespectively a first-order index and a second-order index of the sliding mode; sA sliding mode surface defined for high-low control; v. ofε(i) Controlling switching control quantity for high and low sliding modes;
z(j),z(j),z(j) respectively a high and low position control error eε(i) 0, first, second order estimate of (lambda)Respectively 0 th, first and second order coefficients, v, of its state estimate,vRespectively, intermediate variables in the state estimation; t isεHigh and low filter time constants; k is a radical ofIs a high and low slip form stability factor, kappaThe convergence coefficients of high and low sliding modes.
The step (12) calculates the high-low compensation angular rate dε(j) Compensating angular rate d for sum azimuth interferenceβ(j);
Figure BDA0002848317310000061
Figure BDA0002848317310000062
The step (13) calculates the high-low interference filtering correction amount u(j) Sum-of-azimuth interference filter correction u(j);
u(j)=c11dε(j)+c12dε(j-1)-d11u(j-1)
u(j)=c21dβ(j)+c22dβ(j-1)-d21u(j-1)
Wherein, c11,c12,d11Correcting coefficients for high and low interference filtering; c. C21,c22,d21Correcting coefficients for the azimuth interference filter;
Figure BDA0002848317310000063
Figure BDA0002848317310000064
wherein: t issA speed control period; t isε1,Tβ1Respectively, high-low and azimuth filtering time coefficients; t isε2,Tβ2Respectively, a high-low time characteristic constant and an azimuth time characteristic constant; k is a radical ofε1,kβ1Respectively high and low and an azimuth gain constant.
The step (14) calculates the total speed command of high and low servo
Figure BDA0002848317310000065
And the overall velocity command of the azimuth servo drive
Figure BDA0002848317310000066
Figure BDA0002848317310000067
Figure BDA0002848317310000068
The step (15) of calculating the current command of the azimuth drive
Figure BDA0002848317310000069
Figure BDA00028483173100000610
Figure BDA00028483173100000611
Figure BDA00028483173100000612
Figure BDA00028483173100000613
z0lβ(j)=Tsv0lβ+z0lβ(j-1)
v0lβ=z1lβ(j-1)-λ0lβ|z0lβ(j-1)-l(j-1)|0.5sgn(z0lβ(j-1)-l(j-1))
Figure BDA00028483173100000711
z0ωβ(j)=Tsv0ωβ+z0ωβ(j-1)
Figure BDA0002848317310000071
Figure BDA0002848317310000072
Figure BDA0002848317310000073
l=eβω+γz1eβ(j)p/q
z0eβ(j)=Tsv0eβ+z0eβ(j-1)
v0eβ=z1eβ(j-1)-λ0eβ|z0eβ(j-1)-eβω(j-1)|0.5sgn(z0eβ(j-1)-eβω(j-1))
Figure BDA0002848317310000074
Wherein: i.e. iqeqβ,iqnβRespectively an azimuth terminal sliding mode equivalent control quantity and a sliding mode integral control quantity; i.e. iqβmax,iqβminRespectively are azimuth current amplitude limiting values; j. the design is a squareβThe azimuth motor load moment of inertia; p is a radical ofβThe number of pole pairs of the azimuth motor is; psiThe azimuth motor flux linkage coefficient; b isβThe comprehensive viscous friction coefficient of the azimuth system; gamma rayβ,qβ,PβA position terminal sliding mode coefficient; k is a radical ofββ1β2A direction terminal sliding mode control coefficient; z is a radical of0lβ(j),z1lβ(j) Respectively, terminal sliding form(j) The estimated value and the first-order estimated value of (c); lambda [ alpha ]0lβ,λ1lβAre each l(j) Estimated 0 th and first order estimation coefficients; z is a radical of0ωβ(j),z1ωβ(j) Are respectively the direction and speed commands
Figure BDA0002848317310000075
The estimated value and the first-order estimated value of (c); lambda [ alpha ]0ωβ,λ1ωβAre respectively as
Figure BDA0002848317310000076
Estimated 0 th and first order estimation coefficients; z is a radical of0eβ(j),z1eβ(j) Respectively, an azimuth velocity control error eβω(j) The estimated value and the first-order estimated value of (c); lambda [ alpha ]0eβ,λ1eβAre each eβω(j) Estimated 0 th and first order estimation coefficients; v. of0lβ,v0ωβ,v0eβRespectively, intermediate variables of the orientation state estimate.
The step (16) calculates the current instruction of high-low driving
Figure BDA0002848317310000077
Figure BDA0002848317310000078
Figure BDA0002848317310000079
Figure BDA00028483173100000710
Figure BDA0002848317310000081
z0lε(j)=Tsv0lε+z0lε(j-1)
v0lε=z1lε(j-1)-λ0lε|z0lε(j-1)-l(j-1)|0.5sgn(z0lε(j-1)-l(j-1))
z1lε(j)=Ts[-λlε1sgn(z1lε(j-1)-v0lε]+z1lε(j-1)
z0ωε(j)=Tsv0ωε+z0ωε(j-1)
Figure BDA0002848317310000082
z1ωε(j)=Ts[-λ1ωεsgn(z1ωε(j-1)-v0ωε)]+z1ωε(j-1)
Figure BDA0002848317310000083
l=eεω+γz1eε(j)p/q
z0eε(j)=Tsv0eε+z0eε(j-1)
v0eε=z1eε(j-1)-λ0eε|z0eε(j-1)-eεω(j-1)|0.5sgn(z0eε(j-1)-eεω(j-1))
z1eε(j)=Ts[-λ1eεsgn(z1eε(j-1)-v0eε)]+z1eε(j-1)
Wherein: i.e. iqeqε,iqnεRespectively obtaining high and low terminal sliding mode equivalent control quantity and sliding mode integral control quantity; i.e. iqεmax,iqεminRespectively high and low current limiting values; j. the design is a squareεThe load moment of inertia of the high-low motor is obtained; p is a radical ofεThe number of the pole pairs of the square high-low motor is counted; psiThe flux linkage coefficient of the high-low motor is obtained; b isεHigh and low system comprehensive viscous friction coefficients; gamma rayε,qε,PεHigh-low terminal sliding mode coefficients; k is a radical ofεε1ε2A high-low terminal sliding mode control coefficient; z is a radical of0lε(j),z1lε(j) Respectively a high-low terminal sliding form(j) The estimated value and the first-order estimated value of (c); lambda [ alpha ]0lε,λ1lεAre each l(j) Estimated 0 th and first order estimation coefficients; z is a radical of0ωε(j),z1ωε(j) Respectively high and low speed commands
Figure BDA0002848317310000084
The estimated value and the first-order estimated value of (c); lambda [ alpha ]0ωε,λ1ωεAre respectively as
Figure BDA0002848317310000085
Estimated 0 th and first order estimation coefficients; z is a radical of0eε(j),z1eε(j) Respectively high and low speed control error eεω(j) The estimated value and the first-order estimated value of (c); lambda [ alpha ]0eε,λ1eεAre each eεω(j) Estimated 0 th and first order estimation coefficients; v. of0lε,v0ωε,v0eεRespectively, the intermediate variables of the high and low state estimation.
The invention has the beneficial effects that: the stability control method ensures that the suppression control of the stability system on the interference is completely determined by the sensitive interference rate, has high response bandwidth and accurate interference rate compensation, effectively overcomes the interference of the carrier attitude on the directional control of the gun barrel, and realizes the high-precision stability control of the gun barrel directional under the condition of large firing angle of the movable base. Meanwhile, the backlash is compensated by adopting backstepping high-order sliding mode control, the position stable aiming control error is reduced, the error characteristic is improved, a shooting window is convenient to implement, and the shooting precision is improved. The control model can be expanded to stable tracking control under the condition of high dynamic large firing angle of the self-propelled antiaircraft gun, and can adapt to the control application occasions of large turning speed and acceleration.
Drawings
FIG. 1 is a control schematic of the present invention;
FIG. 2 is a diagram of the control transfer function architecture of the present invention;
FIG. 3 is a computational flow diagram of the present invention.
Detailed Description
The present invention will be further described with reference to the following drawings and examples, which include, but are not limited to, the following examples.
Aiming at the fact that a control system is sensitive to tooth gaps and elasticity, the SINS is installed on a chassis of a vehicle body, a turret gyro set is still installed on a turret, and the vehicle body gyro which is originally stable in a closed loop is installed on a cannon cradle and pitching along with the cannon. The height and direction signal receiving instrument indirectly measures the height and azimuth angle (also called semi-closed loop) of the gun in a vehicle body coordinate system in an equivalent closed loop mode to control, and calculates the direction of the gun barrel in a geodetic coordinate system, so that a control system excludes a larger tooth gap and an elastic structure resonance part of a transmission mechanism from a control closed loop. Meanwhile, the control method adopts a backstepping high-order sliding mode backlash compensation control method, so that the stability of the control system is stronger, and the stability control precision is further improved. The method comprises the following steps:
(1) starting control, controlling the number of steps i, i.e. controlling or sampling period TsAdding 1 to the step number i for 1ms, wherein the initial value of i is 0;
(2) acquiring attitude heading angle psi of SINS (strapdown inertial navigation System) arranged on vehicle bodyb(i),θb(i),
Figure BDA0002848317310000091
Wherein psib(i) The course angle of inertial navigation is obtained; thetab(i) A pitch angle of inertial navigation;
Figure BDA0002848317310000092
the roll angle of inertial navigation;
(3) collecting the measured value epsilon of high and low signal receiving instrumentb(i) And the measured value beta of the orientation receiverb(i);
(4) Collecting the angle value epsilon of the high and low motor shaftsm(i) And ωε(i) Angular velocity, azimuth motor shaft angle value betam(i) And angular velocity ωβ(i);
(5) Acquisition of the three-axis angular rate omega measured by a gyro group of the SINSb(j) Wherein ω isb(j)=[ωb1(j),ωb2(j),ωb3(j)]T,ωb1(j),ωb2(j),ωb3(j) Respectively measuring the angular rate gyros of the axis 1, the axis 2 and the axis 3 of the inertial navigation three-axis gyroscope;
(6) acquiring the three-axis angular rate omega measured by a turret gyroscope grouph(j) Wherein ω ish(j)=[ωh1(j),ωh2(j),ωh3(j)]T,ωh1(j),ωh2(j),ωh3(j) Three-axis of turret gyroscopeMeasurement of gyros of angular rate of axes 1, 2, 3 of the gyro;
(7) collecting angular rate omega measured by artillery pitching gyroscopep(j);
(8) Calculating the direction of the gun barrel in the space through the equivalent closed-loop angle of the height and direction signal receiving instrument;
Figure BDA0002848317310000101
Figure BDA0002848317310000102
Figure BDA0002848317310000103
Figure BDA0002848317310000104
Figure BDA0002848317310000105
wherein psi (i) is the heading angle of the gun barrel; theta (i) is the pitch angle of the gun barrel;
Figure BDA0002848317310000106
the roll angle, psi' of the gun barrel,
Figure BDA0002848317310000107
respectively intermediate variables in the calculation process;
Figure BDA0002848317310000108
is a matrix of the orientation and the posture of the artillery,
Figure BDA0002848317310000109
is a pitching attitude matrix of the artillery,
Figure BDA00028483173100001010
Figure BDA00028483173100001011
Figure BDA00028483173100001012
Figure BDA00028483173100001013
Figure BDA00028483173100001014
wherein:
Figure BDA00028483173100001015
is a vehicle body attitude matrix;
Figure BDA00028483173100001016
is a gun barrel attitude matrix;
Figure BDA00028483173100001017
is a vehicle body course attitude matrix,
Figure BDA00028483173100001018
is a matrix of the pitching attitude of the vehicle body,
Figure BDA00028483173100001019
a vehicle body roll attitude matrix;
(9) judging whether a gun aiming azimuth control instruction psi under geodetic coordinates is receivedref(j) High-low control command thetaref(j) If yes, entering the step (10); otherwise, turning to the step (12);
(10) position location control strategy calculation
eβ(i)=ψref(i)-ψ(i)
Figure BDA0002848317310000111
Figure BDA0002848317310000112
Figure BDA0002848317310000113
vβ(i)=-ksgn(s)-κs
Figure BDA0002848317310000114
Figure BDA0002848317310000115
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z0lβ(j-1)-eβ(j-1)|0.5sgn(z(j-1)-eβ(j-1))
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z(j-1)-v|0.5sgn(z(j-1)-v)
Figure BDA0002848317310000116
Wherein: e.g. of the typeβ(i) Controlling the error for the azimuth position;
Figure BDA0002848317310000117
is an azimuth speed instruction; u. ofpβmax,upβminThe upper and lower limit amplitude values of the azimuth rotating speed are obtained; j. the design is a squareThe azimuth turret moment of inertia; etaβAn azimuth drive ratio; k is a radical ofβAzimuth drive stiffness; u. ofeqβ(i) Is an azimuth sliding mode equivalent control quantity; u. ofswβ(i) Azimuth sliding mode variable structure control quantity; bβIs the azimuthal friction coefficient; alpha is alphaβDriving the backlash for azimuth; ε (Δ β)m) Fitting a non-linear function for the azimuth backlash; delta betamIs the difference between the azimuth motor shaft and the azimuth angle measurement value; beta is am(i) Is the azimuth motor shaft angle; c. C,cAre the first and second order coefficients of the orientation sliding mode, alphaRespectively a first-order index and a second-order index of the sliding mode; t issIs a sampling period; tau is a fitting coefficient; sA sliding surface defined for orientation control; v. ofβ(i) Controlling the switching control quantity for the direction sliding mode; z is a radical of(j),z(j),z(j) Respectively, azimuth position control error eβ(i) 0, first, second order estimate of (lambda)Respectively 0 th, first and second order coefficients, v, of its state estimate,vRespectively, intermediate variables in the state estimation; t isβIs the azimuth filter time constant; k is a radical ofIs a high and low slip form stability factor, kappaThe convergence coefficients of high and low sliding modes.
(11) High and low position control strategy calculation
eε(i)=θref(i)-θ(i)
Figure BDA0002848317310000121
Figure BDA0002848317310000122
Figure BDA0002848317310000123
vε(i)=-ksgn(s)-κs
Figure BDA0002848317310000124
Figure BDA0002848317310000125
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z0lε(j-1)-eε(j-1)|0.5sgn(z(j-1)-eε(j-1))
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z(j-1)-v|0.5sgn(z(j-1)-v)
z(j)=Ts[-λsgn(z(j-1)-v)]+z(j-1)
Wherein: e.g. of the typeε(i) Controlling the error for the high and low positions;
Figure BDA0002848317310000126
a high and low speed command; u. ofpεmax,upεminThe amplitude values of the upper limit and the lower limit of the high and low rotating speeds are obtained; j. the design is a squareHigh and low turret moment of inertia; etaεThe transmission speed ratio is high and low; k is a radical ofεHigh and low transmission stiffness; u. ofeqε(i) The method comprises the steps of (1) obtaining equivalent control quantity of a high-low sliding mode; u. ofswε(i) Variable structure control variable of high and low sliding modes; bεHigh and low friction coefficients; alpha is alphaεThe gear backlash is high-low transmission gear backlash; ε (Δ ε)m) Fitting a nonlinear function for the high and low backlash; epsilonm(i) The angle of the motor shaft is high or low; delta epsilonmThe angle difference between the high and low motor shafts and the high and low angle measurement is obtained; c. C,cRespectively a first and a second order coefficient of high and low sliding modes, alphaRespectively a first-order index and a second-order index of the sliding mode; sA sliding mode surface defined for high-low control; v. ofε(i) Controlling switching control quantity for high and low sliding modes;
z(j),z(j),z(j) respectively a high and low position control error eε(i) 0, first, second order estimate of (lambda)Respectively 0 th, first and second order coefficients, v, of its state estimate,vRespectively, intermediate variables in the state estimation; t isεHigh and low filter time constants; k is a radical ofIs a high and low slip form stability factor, kappaThe convergence coefficients of high and low sliding modes. .
(12) Calculating high and low compensation angular rate dε(j) Compensating angular rate d for sum azimuth interferenceβ(j);
Figure BDA0002848317310000131
Figure BDA0002848317310000132
(13) High-low interference filtering correction value u(j) Sum-of-azimuth interference filter correction u(j) Calculating;
u(j)=c11dε(j)+c12dε(j-1)-d11u(j-1)
u(j)=c21dβ(j)+c22dβ(j-1)-d21u(j-1)
wherein, c11,c12,d11Correcting coefficients for high and low interference filtering; c. C21,c22,d21Correcting coefficients for the azimuth interference filter;
Figure BDA0002848317310000133
Figure BDA0002848317310000134
wherein: t issA speed control period; t isε1,Tβ1Respectively, high-low and azimuth filtering time coefficients; t isε2,Tβ2Respectively, a high-low time characteristic constant and an azimuth time characteristic constant; k is a radical ofε1,kβ1Respectively high and low and an azimuth gain constant.
(14) Calculating total speed command of high and low servo
Figure BDA0002848317310000135
And the overall velocity command of the azimuth servo drive
Figure BDA0002848317310000136
Figure BDA0002848317310000137
Figure BDA0002848317310000138
(15) Calculating azimuth-driven current commands
Figure BDA0002848317310000139
Figure BDA00028483173100001310
Figure BDA00028483173100001311
Figure BDA00028483173100001312
Figure BDA0002848317310000141
z0lβ(j)=Tsv0lβ+z0lβ(j-1)
v0lβ=z1lβ(j-1)-λ0lβ|z0lβ(j-1)-l(j-1)|0.5sgn(z0lβ(j-1)-l(j-1))
Figure BDA0002848317310000142
z0ωβ(j)=Tsv0ωβ+z0ωβ(j-1)
Figure BDA0002848317310000143
Figure BDA0002848317310000144
Figure BDA0002848317310000145
l=eβω+γz1eβ(j)p/q
z0eβ(j)=Tsv0eβ+z0eβ(j-1)
v0eβ=z1eβ(j-1)-λ0eβ|z0eβ(j-1)-eβω(j-1)|0.5sgn(z0eβ(j-1)-eβω(j-1))
Figure BDA00028483173100001410
Wherein: i.e. iqeqβ,iqnβRespectively an azimuth terminal sliding mode equivalent control quantity and a sliding mode integral control quantity; i.e. iqβmax,iqβminRespectively are azimuth current amplitude limiting values; j. the design is a squareβThe azimuth motor load moment of inertia; p is a radical ofβThe number of pole pairs of the azimuth motor is; psiThe azimuth motor flux linkage coefficient; b isβThe comprehensive viscous friction coefficient of the azimuth system; gamma rayβ,qβ,PβA position terminal sliding mode coefficient; k is a radical ofββ1β2A direction terminal sliding mode control coefficient; z is a radical of0lβ(j),z1lβ(j) Respectively, terminal sliding form(j) The estimated value and the first-order estimated value of (c); lambda [ alpha ]0lβ,λ1lβAre each l(j) Estimated 0 th and first order estimation coefficients; z is a radical of0ωβ(j),z1ωβ(j) Are respectively the direction and speed commands
Figure BDA0002848317310000146
The estimated value and the first-order estimated value of (c); lambda [ alpha ]0ωβ,λ1ωβAre respectively as
Figure BDA0002848317310000147
Estimated 0 th and first order estimation coefficients; z is a radical of0eβ(j),z1eβ(j) Respectively, an azimuth velocity control error eβω(j) The estimated value and the first-order estimated value of (c); lambda [ alpha ]0eβ,λ1eβAre each eβω(j) Estimated 0 th and first order estimation coefficients; v. of0lβ,v0ωβ,v0eβRespectively, intermediate variables of the orientation state estimate.
(16) Calculating current command of high-low driving
Figure BDA0002848317310000148
Figure BDA0002848317310000149
Figure BDA0002848317310000151
Figure BDA0002848317310000152
Figure BDA0002848317310000153
z0lε(j)=Tsv0lε+z0lε(j-1)
v0lε=z1lε(j-1)-λ0lε|z0lε(j-1)-l(j-1)|0.5sgn(z0lε(j-1)-l(j-1))
z1lε(j)=Ts[-λlε1sgn(z1lε(j-1)-v0lε]+z1lε(j-1)
z0ωε(j)=Tsv0ωε+z0ωε(j-1)
Figure BDA0002848317310000154
z1ωε(j)=Ts[-λ1ωεsgn(z1ωε(j-1)-v0ωε)]+z1ωε(j-1)
Figure BDA0002848317310000155
l=eεω+γz1eε(j)p/q
z0eε(j)=Tsv0eε+z0eε(j-1)
v0eε=z1eε(j-1)-λ0eε|z0eε(j-1)-eεω(j-1)|0.5sgn(z0eε(j-1)-eεω(j-1))
z1eε(j)=Ts[-λ1eεsgn(z1eε(j-1)-v0eε)]+z1eε(j-1)
Wherein: i.e. iqeqε,iqnεRespectively obtaining high and low terminal sliding mode equivalent control quantity and sliding mode integral control quantity; i.e. iqεmax,iqεminRespectively high and low current limiting values; j. the design is a squareεThe load moment of inertia of the high-low motor is obtained; p is a radical ofεThe number of the pole pairs of the square high-low motor is counted; psiThe flux linkage coefficient of the high-low motor is obtained; b isεHigh and low system comprehensive viscous friction coefficients; gamma rayε,qε,PεHigh-low terminal sliding mode coefficients; k is a radical ofεε1ε2A high-low terminal sliding mode control coefficient; z is a radical of0lε(j),z1lε(j) Respectively a high-low terminal sliding form(j) The estimated value and the first-order estimated value of (c); lambda [ alpha ]0lε,λ1lεAre each l(j) Estimated 0 th and first order estimation coefficients; z is a radical of0ωε(j),z1ωε(j) Respectively high and low speed commands
Figure BDA0002848317310000156
The estimated value and the first-order estimated value of (c); lambda [ alpha ]0ωε,λ1ωεAre respectively as
Figure BDA0002848317310000157
Estimated 0 th and first order estimation coefficients; z is a radical of0eε(j),z1eε(j) Respectively high and low speed control error eεω(j) The estimated value and the first-order estimated value of (c); lambda [ alpha ]0eε,λ1eεAre each eεω(j) Estimated 0 th and first order estimation coefficients; v. of0lε,v0ωε,v0eεRespectively, the intermediate variables of the high and low state estimation.
(17) And (3) setting the driver to work in a torque mode, sending a current instruction to the servo driver through the CAN bus, and turning to the step (1).
The control principle of the embodiment of the invention is shown in figure 1. In the figure, the height and direction receiver is connected with the motor shaft through an instrument chain with the same power transmission ratio, and the instrument chain has larger transmission rigidity and smaller backlash. The pointing direction of the gun barrel in the geodetic coordinate system is calculated by the navigation attitude, the height and the measured value of the receiving instrument of the strapdown inertial navigation installed on the chassis of the vehicle body, and the pointing value of the gun barrel is used as the feedback of the aiming position control loop, so that the aiming of the gun barrel can be realized. Meanwhile, the non-linearity such as backlash of power transmission is excluded from position closed-loop control. The stabilizing system can calculate the azimuth and the high-low interference angular rate of the cannon under the geodetic coordinates according to the angular rate, the high-low angle, the turret gyro set and the cannon pitching gyro of the SINS gyro set. The stabilizing system eliminates the interference of a high control channel, a low control channel and an azimuth control channel through the cascade control of the position control outer ring, thereby achieving ideal stable aiming precision.
The control method comprises the following steps: firstly, collecting a course angle, a pitch angle and a roll angle of SINS, and a high-low angle and an azimuth angle, a high-low and azimuth motor shaft angle and angular speed of an artillery; then, collecting angular velocity values of the SINS gyroscope group, the turret gyroscope group and the artillery pitching gyroscope; secondly, calculating the direction of the gun barrel under a geodetic coordinate system; thirdly, calculating a direction and a height control strategy; thirdly, carrying out filtering correction on the interference angular rate to obtain azimuth and high-low compensation angular rate control quantity; thirdly, combining a speed control command of stable control and an interference compensation angular speed control command as a speed total command of servo drive; and finally, calculating a high-order sliding mode speed control strategy according to the speed control instruction to obtain a current loop control instruction, so that the driving motor controls the gun to rotate according to the given control quantity.
The control transfer function structure of an embodiment of the present invention is shown in fig. 2. To simplify the transfer function, the SINS course and pitch measurements can be reduced by
Figure BDA0002848317310000161
Treating the coupling interference as various passing interferences; simplifying a closed loop formed by a current controller, an inverter, current conditioning, a current moment coefficient and the like driven by high-low and azimuth servo into a first-order inertia link
Figure BDA0002848317310000162
The direction and high and low speed ring control is high-order sliding mode control; the direction and high-low position ring control is also high-order sliding mode control; the disturbance rate feedforward controller is
Figure BDA0002848317310000163
f,fRespectively, a gain factor, T,TRespectively, time constants, discretized using a bi-linear transformation.
The gun stable aiming system implementing the control method mainly comprises a stable control system, a driving speed regulation system, a power supply system, a turret gyro set, a vehicle body gyro, a height and azimuth side angle device and the like. The stable aiming control system adopts an embedded computer based on x 86. The driving speed regulation system takes a DSP28335+ FPGA as a core control panel to drive a power electronic IPM (intelligent drive) to control the motor to rotate. A Permanent Magnet Synchronous Motor (PMSM) with a bus voltage of 56VDC and a number n of pole pairsp3, rated power of 4kW, stator inductance of 0.0098mH, stator resistance of 3.5 milliohm, rated rotating speed of 3000RPM, rated torque of 7.4Nm, and equivalent moment of inertia J sum of motor rotor and transmission gear train of 0.013 kg.m2(ii) a High and low PMSM (permanent magnet synchronous Motor), the bus voltage is 56VDC, and the number n of pole pairsp3, rated power of 2kW, rated torque of 3.2Nm, stator inductance of 0.032mH, stator resistance of 0.0105 ohm, rated rotating speed of 3000RPM, and equivalent moment of inertia J sum of motor rotor and transmission gear train of 0.0075 kg.m2. The azimuthal load moment of inertia is about 2700kg m2The transmission ratio is 470. The high and low load moment of inertia is 700 kg.m2. The transmission ratio is 450. The angular speed measurement range of the SINS is +/-300 degrees/s, the course measurement precision is not more than 0.3mil, and the attitude measurement precision is not more than 0.1 mil.
Fig. 3 is a flowchart of calculation according to an embodiment of the present invention, and details of a specific implementation process will be described below with reference to the flowchart.
(1) Starting control, controlling the number of steps i, i.e. controlling or sampling period Ts=1ms
i=i+1
Wherein the initial value of i is 0;
(2) acquiring attitude heading angle psi of SINS (strapdown inertial navigation System) arranged on vehicle bodyb(i),θb(i),
Figure BDA0002848317310000173
Wherein psib(i) The course angle of inertial navigation is obtained; thetab(i) A pitch angle of inertial navigation;
Figure BDA0002848317310000174
the roll angle of inertial navigation;
(3) collecting the measured value epsilon of high and low signal receiving instrumentb(i) And the measured value beta of the orientation receiverb(i);
(4) Collecting the angle value epsilon of the high and low motor shaftsm(i) And ωε(i) Angular velocity, azimuth motor shaft angle value betam(i) And angular velocity ωβ(i);
(5) Acquisition of the three-axis angular rate omega measured by a gyro group of the SINSb(j) Wherein ω isb(j)=[ωb1(j),ωb2(j),ωb3(j)]T,ωb1(j),ωb2(j),ωb3(j) Respectively measuring the angular rate gyros of the axis 1, the axis 2 and the axis 3 of the inertial navigation three-axis gyroscope;
(6) acquiring the three-axis angular rate omega measured by a turret gyroscope grouph(j) Wherein ω ish(j)=[ωh1(j),ωh2(j),ωh3(j)]T,ωh1(j),ωh2(j),ωh3(j) Measuring values of the three-axis gyroscope of the turret gyroscope, namely a shaft 1, a shaft 2 and a shaft 3, of angular rate gyroscopes respectively;
(7) collecting angular rate omega measured by artillery pitching gyroscopep(j);
(8) Calculating the direction of the gun barrel in the space through the equivalent closed-loop angle of the height and direction signal receiving instrument;
Figure BDA0002848317310000171
Figure BDA0002848317310000172
Figure BDA0002848317310000181
Figure BDA0002848317310000182
Figure BDA0002848317310000183
Figure BDA0002848317310000184
Figure BDA0002848317310000185
Figure BDA0002848317310000186
Figure BDA0002848317310000187
Figure BDA0002848317310000188
converting the amplitude into a secret bit;
(9) whether a gun aiming azimuth control command psi under geodetic coordinates is receivedref(j) High-low control command thetaref(j) Is there a If yes, entering the step (10); otherwise, turning to the step (12);
(10) position location control strategy calculation
eβ(i)=ψref(i)-ψ(i)
Figure BDA0002848317310000189
Figure BDA00028483173100001810
Figure BDA00028483173100001811
vβ(i)=-ksgn(s)-κs
Figure BDA0002848317310000191
Figure BDA0002848317310000192
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z0lβ(j-1)-eβ(j-1)|0.5sgn(z(j-1)-eβ(j-1))
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z(j-1)-v|0.5sgn(z(j-1)-v)
Figure BDA0002848317310000198
Wherein: given azimuth motor rated speed upβmax=3000,upβmin-3000; turret moment of inertia J2700 is selected; given aSpeed ratio ηβ470; rigidity kβ=2×107(ii) a Coefficient of friction bβ0.005; taking the measured value of backlash alphaβ1.2. The following design parameters: c. C=15,c=9,τ=27,λ=5,λ=21,λ=250,Tβ=0.001,k=15,κ=150。
(11) High and low position control strategy calculation
eε(i)=θref(i)-θ(i)
Figure BDA0002848317310000193
Figure BDA0002848317310000194
Figure BDA0002848317310000195
vε(i)=-ksgn(s)-κs
Figure BDA0002848317310000196
Figure BDA0002848317310000197
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z0lε(j-1)-eε(j-1)|0.5sgn(z(j-1)-eε(j-1))
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z(j-1)-v|0.5sgn(z(j-1)-v)
z(j)=Ts[-λsgn(z(j-1)-v)]+z(j-1)
Wherein: setting the rated speed u of the motorpεmax=3000,upεmin-3000; cannon pitching inertia J700; given speed ratio ηε450; rigidity kε=1.8×107(ii) a Coefficient of friction bε0.008 percent; taking the measured value of backlash alphaε0.9. The following design parameters: c. C=23,c=5,τ=27,λ=8.15,λ=36.7,λ=430,Tε=0.0013,k=17.1,,κ=203。
(12) Calculating high and low compensation angular rate dε(j) Compensating angular rate d for sum azimuth interferenceβ(j);
Figure BDA0002848317310000201
Figure BDA0002848317310000202
(13) High-low interference filtering correction value u(j) Sum-of-azimuth interference filter correction u(j) Calculating;
u(j)=c11dε(j)+c12dε(j-1)-d11u(j-1)
u(j)=c21dβ(j)+c22dβ(j-1)-d21u(j-1)
wherein, c11,c12,d11Correcting coefficients for high and low interference filtering; c. C21,c22,d21Correcting coefficients for the azimuth interference filter;
Figure BDA0002848317310000203
Figure BDA0002848317310000204
wherein: t iss=0.001;Tε1=0.01,Tβ1=0.01;Tε2=0.025,Tβ2=0.036;kε1=4.5,kβ1=4.7;
(14) Calculating total speed command of high and low servo
Figure BDA0002848317310000205
And the overall velocity command of the azimuth servo drive
Figure BDA0002848317310000206
Figure BDA0002848317310000207
Figure BDA0002848317310000208
(15) Calculating azimuth-driven current commands
Figure BDA0002848317310000209
Figure BDA00028483173100002010
Figure BDA0002848317310000211
Figure BDA0002848317310000212
Figure BDA0002848317310000213
z0lβ(j)=Tsv0lβ+z0lβ(j-1)
v0lβ=z1lβ(j-1)-λ0lβ|z0lβ(j-1)-l(j-1)|0.5sgn(z0lβ(j-1)-l(j-1))
Figure BDA0002848317310000219
z0ωβ(j)=Tsv0ωβ+z0ωβ(j-1)
Figure BDA0002848317310000214
Figure BDA00028483173100002111
Figure BDA0002848317310000215
l=eβω+γz1eβ(j)p/q
z0eβ(j)=Tsv0eβ+z0eβ(j-1)
v0eβ=z1eβ(j-1)-λ0eβ|z0eβ(j-1)-eβω(j-1)|0.5sgn(z0eβ(j-1)-eβω(j-1))
Figure BDA00028483173100002110
Wherein: given azimuth motor current limit value iqβmax=150,iqβmin-150; azimuth motor shaft Jβ0.013, its pole pair number pβ3, its flux linkage coefficient psi0.0031, coefficient of friction Bβ0.005. The design parameters are as follows: gamma rayβ=0.02,qβ=3,Pβ=5;kβ=250,ηβ1=300,ηβ2=2000;λ0lβ=5.321,λ1lβ=15.487;λ0ωβ=2.56,λ1ωβ=11.654;λ0eβ=7.662,λ1eβ=18.956。
(16) Calculating current command of high-low driving
Figure BDA0002848317310000216
Figure BDA0002848317310000217
Figure BDA0002848317310000218
Figure BDA0002848317310000221
Figure BDA0002848317310000222
z0lε(j)=Tsv0lε+z0lε(j-1)
v0lε=z1lε(j-1)-λ0lε|z0lε(j-1)-l(j-1)|0.5sgn(z0lε(j-1)-l(j-1))
z1lε(j)=Ts[-λlε1sgn(z1lε(j-1)-v0lε]+z1lε(j-1)
z0ωε(j)=Tsv0ωε+z0ωε(j-1)
Figure BDA0002848317310000223
z1ωε(j)=Ts[-λ1ωεsgn(z1ωε(j-1)-v0ωε)]+z1ωε(j-1)
Figure BDA0002848317310000224
l=eεω+γz1eε(j)p/q
z0eε(j)=Tsv0eε+z0eε(j-1)
v0eε=z1eε(j-1)-λ0eε|z0eε(j-1)-eεω(j-1)|0.5sgn(z0eε(j-1)-eεω(j-1))
z1eε(j)=Ts[-λ1eεsgn(z1eε(j-1)-v0eε)]+z1eε(j-1)
Wherein: giving high and low motor current limiting value iqεmax=75,iqεmin-75; high-low motor shaft Jε0.0075, its number of pole pairs pε3, its flux linkage coefficient psi0.02, given a coefficient of friction Bε0.008. The design parameters are as follows: gamma rayε=0.01,qε=5,Pε=7;kε=300,ηε1=450,ηε2=1500;λ0lε=4.365,λ1lε=13.78;λ0ωε=5.862,λ1ωε=14.953;λ0eε=7.632,λ1eε=19.564。
(17) And (3) setting the driver to work in a torque mode, sending a current instruction to the servo driver through the CAN bus, and turning to the step (1).
The ranges of parameters used in this example are shown in Table 1.
TABLE 1 parameter value ranges
Figure BDA0002848317310000225
Figure BDA0002848317310000231
Figure BDA0002848317310000241

Claims (9)

1. An equivalent closed loop interference rate compensation self-stabilization control method under geodetic coordinates is characterized by comprising the following steps:
(1) setting an initial value of a control step number i as 0; setting control or sampling periods, and adding 1 to the step number i of each control or sampling period;
(2) acquiring attitude heading angle psi of SINS on vehicle bodyb(i),θb(i),
Figure FDA0002848317300000011
Wherein psib(i)、θb(i)、
Figure FDA0002848317300000012
Respectively is a course angle, a pitch angle and a roll angle of inertial navigation;
(3) collecting the measured value epsilon of high and low signal receiving instrumentb(i) And the measured value beta of the orientation receiverb(i);
(4) Collecting the angle value epsilon of the high and low motor shaftsm(i) And its angular velocity omegaε(i) Azimuth motor shaft angle value betam(i) And its angular velocity omegaβ(i);
(5) Three-axis angular rate omega measured by gyro set for acquiring SINSb(j)=[ωb1(j),ωb2(j),ωb3(j)]T
(6) Acquiring triaxial angular rate omega measured by turret gyroscope grouph(j)=[ωh1(j),ωh2(j),ωh3(j)]T
(7) Collecting angular rate omega measured by artillery pitching gyroscopep(j);
(8) Calculating the direction of the gun barrel in the space through the equivalent closed-loop angle of the height and direction signal receiving instrument;
(9) judging whether artillery aiming azimuth control command psi under geodetic coordinates is received at the same timeref(j) High-low control command thetaref(j) If yes, entering the step (10); otherwise, turning to the step (12);
(10) calculating an azimuth position control strategy, which comprises an azimuth position control error, an azimuth speed instruction, an azimuth sliding mode equivalent control quantity, an azimuth sliding mode variable structure control quantity and an azimuth sliding mode control switching control quantity;
(11) calculating a high-low position control strategy, which comprises a high-low position control error, a high-low speed instruction, a high-low sliding mode equivalent control quantity, a high-low sliding mode variable structure control quantity and a high-low sliding mode control switching control quantity;
(12) calculating high and low compensation angular rates and azimuth interference compensation angular rates;
(13) calculating a high-low interference filtering correction value and an azimuth interference filtering correction value;
(14) calculating the total speed command of high and low servo and the total speed command of azimuth servo drive;
(15) calculating a current instruction of azimuth driving;
(16) calculating a current instruction of high and low driving;
(17) and (3) setting the driver to work in a torque mode, sending a current instruction to the servo driver through the CAN bus, and turning to the step (1).
2. The method for controlling rate compensation and self-stabilization of equivalent closed-loop interference under geodetic coordinates according to claim 1, wherein the step (8) calculates the orientation of the gun barrel in space through the equivalent closed-loop angles of the altitude and direction receiving instruments,
Figure FDA0002848317300000021
Figure FDA0002848317300000022
Figure FDA0002848317300000023
Figure FDA0002848317300000024
Figure FDA0002848317300000025
wherein psi (i) is the heading angle of the gun barrel, theta (i) is the pitch angle of the gun barrel,
Figure FDA0002848317300000026
is the roll angle, psi' of the gun barrel,
Figure FDA0002848317300000027
In order to calculate the intermediate variables in the process,
Figure FDA0002848317300000028
is a matrix of the postures of the cannon barrel,
Figure FDA0002848317300000029
Figure FDA00028483173000000210
Figure FDA00028483173000000211
Figure FDA00028483173000000212
Figure FDA00028483173000000213
wherein the content of the first and second substances,
Figure FDA00028483173000000214
is a matrix of the posture of the vehicle body,
Figure FDA00028483173000000215
is a vehicle body course attitude matrix,
Figure FDA00028483173000000216
is a matrix of the pitching attitude of the vehicle body,
Figure FDA00028483173000000217
is a matrix of the rolling attitude of the vehicle body,
Figure FDA00028483173000000218
is a matrix of the orientation and the posture of the artillery,
Figure FDA00028483173000000219
and the pitching attitude matrix of the artillery is obtained.
3. The method for equivalent closed-loop interference rate compensation self-stabilization control under geodetic coordinates according to claim 1, wherein the step (10) calculates an azimuth position control strategy,
eβ(i)=ψref(i)-ψ(i)
Figure FDA0002848317300000031
Figure FDA0002848317300000032
Figure FDA0002848317300000033
vβ(i)=-ksgn(s)-κs
Figure FDA0002848317300000034
Figure FDA0002848317300000035
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z0lβ(j-1)-eβ(j-1)|0.5sgn(z(j-1)-eβ(j-1))
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z(j-1)-v|0.5sgn(z(j-1)-v)
Figure FDA0002848317300000037
wherein: e.g. of the typeβ(i) Controlling the error for the azimuth position;
Figure FDA0002848317300000036
is an azimuth speed instruction; u. ofpβmax,upβminThe upper and lower limit amplitude values of the azimuth rotating speed are obtained; j. the design is a squareThe azimuth turret moment of inertia; etaβAn azimuth drive ratio; k is a radical ofβAzimuth drive stiffness; u. ofeqβ(i) Is an azimuth sliding mode equivalent control quantity; u. ofswβ(i) Azimuth sliding mode variable structure control quantity; bβIs the azimuthal friction coefficient; alpha is alphaβDriving the backlash for azimuth; ε (Δ β)m) Fitting a non-linear function for the azimuth backlash; delta betamIs the difference between the azimuth motor shaft and the azimuth angle measurement value; beta is am(i) Is the azimuth motor shaft angle; c. C,cAre the first and second order coefficients of the orientation sliding mode, alphaRespectively are a first order index and a second order index of the azimuth sliding mode; t issIs a sampling period; tau is a backlash fitting coefficient; sA sliding surface defined for orientation control; v. ofβ(i) Controlling the switching control quantity for the direction sliding mode; z is a radical of(j),z(j),z(j) Respectively, azimuth position control error eβ(i) 0, first, second order estimate of (lambda)Respectively 0 th, first and second order coefficients, v, of its state estimate,vRespectively, intermediate variables in the state estimation; t isβIs the azimuth filter time constant; k is a radical ofIs the orientation sliding mode stability factor, kappaIs the orientation sliding mode convergence coefficient.
4. The method for self-stabilization control of equivalent closed-loop interference rate compensation under geodetic coordinates according to claim 1, wherein the step (11) calculates a high-low position control strategy
eε(i)=θref(i)-θ(i)
Figure FDA0002848317300000041
Figure FDA0002848317300000042
Figure FDA0002848317300000043
vε(i)=-ksgn(s)-κs
Figure FDA0002848317300000044
Figure FDA0002848317300000045
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z0lε(j-1)-eε(j-1)|0.5sgn(z(j-1)-eε(j-1))
z(j)=Tsv+z(j-1)
v=z(j-1)-λ|z(j-1)-v|0.5sgn(z(j-1)-v)
z(j)=Ts[-λsgn(z(j-1)-v)]+z(j-1)
Wherein: e.g. of the typeε(i) Controlling the error for the high and low positions;
Figure FDA0002848317300000046
a high and low speed command; u. ofpεmax,upεminThe amplitude values of the upper limit and the lower limit of the high and low rotating speeds are obtained; j. the design is a squareHigh and low turret moment of inertia; etaεThe transmission speed ratio is high and low; k is a radical ofεHigh and low transmission stiffness; u. ofeqε(i) The method comprises the steps of (1) obtaining equivalent control quantity of a high-low sliding mode; u. ofswε(i) Variable structure control variable of high and low sliding modes; bεHigh and low friction coefficients; alpha is alphaεThe gear backlash is high-low transmission gear backlash; ε (Δ ε)m) Fitting a nonlinear function for the high and low backlash; epsilonm(i) The angle of the motor shaft is high or low; delta epsilonmThe angle difference between the high and low motor shafts and the high and low angle measurement is obtained; c. C,cRespectively a first and a second order coefficient of high and low sliding modes, alphaRespectively a first-order index and a second-order index of the sliding mode; sA sliding mode surface defined for high-low control; v. ofε(i) Controlling switching control quantity for high and low sliding modes; z is a radical of(j),z(j),z(j) Respectively a high and low position control error eε(i) 0, first, second order estimate of (lambda)Respectively 0 th, first and second order coefficients, v, of its state estimate,vRespectively, intermediate variables in the state estimation; t isεHigh and low filter time constants; k is a radical ofIs a high and low slip form stability factor, kappaThe convergence coefficients of high and low sliding modes.
5. The method for self-stabilization of equivalent closed-loop interference rate compensation under geodetic coordinates according to claim 1, wherein said step (12) of calculating the high-low compensation angular rate dε(j) Compensating angular rate d for sum azimuth interferenceβ(j);
Figure FDA0002848317300000051
Figure FDA0002848317300000052
6. The method for self-stabilization of equivalent closed-loop interference rate compensation under geodetic coordinates according to claim 1, wherein said step (13) calculates the correction u of high-low interference filter(j) Sum-of-azimuth interference filter correction u(j);
u(j)=c11dε(j)+c12dε(j-1)-d11u(j-1)
u(j)=c21dβ(j)+c22dβ(j-1)-d21u(j-1)
Wherein, c11,c12,d11Correcting coefficients for high and low interference filtering; c. C21,c22,d21Correcting coefficients for the azimuth interference filter;
Figure FDA0002848317300000053
Figure FDA0002848317300000054
wherein: t issA speed control period; t isε1,Tβ1Respectively, high-low and azimuth filtering time coefficients; t isε2,Tβ2Respectively, a high-low time characteristic constant and an azimuth time characteristic constant; k is a radical ofε1,kβ1Respectively high and low and an azimuth gain constant.
7. The method for self-stabilization of equivalent closed-loop disturbance rate compensation under geodetic coordinates according to claim 1, wherein the step (14) of calculating the total speed command of high and low servo
Figure FDA0002848317300000055
And the overall velocity command of the azimuth servo drive
Figure FDA0002848317300000056
Figure FDA0002848317300000057
Figure FDA0002848317300000058
8. The method for equivalent closed-loop interference rate compensation self-stabilization control under geodetic coordinates according to claim 1, wherein the step (15) of calculating the current command of azimuth drive
Figure FDA0002848317300000059
Figure FDA00028483173000000510
Figure FDA0002848317300000061
Figure FDA0002848317300000062
Figure FDA0002848317300000063
z0lβ(j)=Tsv0lβ+z0lβ(j-1)
v0lβ=z1lβ(j-1)-λ0lβ|z0lβ(j-1)-l(j-1)|0.5sgn(z0lβ(j-1)-l(j-1))
Figure FDA0002848317300000069
z0ωβ(j)=Tsv0ωβ+z0ωβ(j-1)
Figure FDA0002848317300000064
Figure FDA00028483173000000610
Figure FDA0002848317300000065
l=eβω+γz1eβ(j)p/q
z0eβ(j)=Tsv0eβ+z0eβ(j-1)
v0eβ=z1eβ(j-1)-λ0eβ|z0eβ(j-1)-eβω(j-1)|0.5sgn(z0eβ(j-1)-eβω(j-1))
Figure FDA00028483173000000611
Wherein: i.e. iqeqβ,iqnβRespectively an azimuth terminal sliding mode equivalent control quantity and a sliding mode integral control quantity; i.e. iqβmax,iqβminRespectively are azimuth current amplitude limiting values; j. the design is a squareβThe azimuth motor load moment of inertia; p is a radical ofβThe number of pole pairs of the azimuth motor is; psiThe azimuth motor flux linkage coefficient; b isβThe comprehensive viscous friction coefficient of the azimuth system; gamma rayβ,qβ,PβA position terminal sliding mode coefficient; k is a radical ofβ,
Figure FDA0002848317300000066
A direction terminal sliding mode control coefficient; z is a radical of0lβ(j),z1lβ(j) Respectively, terminal sliding form(j) Is estimatedEvaluating and first order evaluation values; lambda [ alpha ]0lβ,λ1lβAre each l(j) Estimated 0 th and first order estimation coefficients; z is a radical of0ωβ(j),z1ωβ(j) Are respectively the direction and speed commands
Figure FDA0002848317300000067
The estimated value and the first-order estimated value of (c); lambda [ alpha ]0ωβ,λ1ωβAre respectively as
Figure FDA0002848317300000068
Estimated 0 th and first order estimation coefficients; z is a radical of0eβ(j),z1eβ(j) Respectively, an azimuth velocity control error eβω(j) The estimated value and the first-order estimated value of (c); lambda [ alpha ]0eβ,λ1eβAre each eβω(j) Estimated 0 th and first order estimation coefficients; v. of0lβ,v0ωβ,v0eβRespectively, intermediate variables of the orientation state estimate.
9. The method for self-stabilization control of equivalent closed-loop interference rate compensation under geodetic coordinates according to claim 1, wherein the step (16) of calculating the current command of high-low driving
Figure FDA0002848317300000071
Figure FDA0002848317300000072
Figure FDA0002848317300000073
Figure FDA0002848317300000074
Figure FDA0002848317300000075
z0lε(j)=Tsv0lε+z0lε(j-1)
v0lε=z1lε(j-1)-λ0lε|z0lε(j-1)-l(j-1)|0.5sgn(z0lε(j-1)-l(j-1))
z1lε(j)=Ts[-λlε1sgn(z1lε(j-1)-v0lε]+z1lε(j-1)
z0ωε(j)=Tsv0ωε+z0ωε(j-1)
Figure FDA0002848317300000076
z1ωε(j)=Ts[-λ1ωεsgn(z1ωε(j-1)-v0ωε)]+z1ωε(j-1)
Figure FDA0002848317300000077
l=eεω+γz1eε(j)p/q
z0eε(j)=Tsv0eε+z0eε(j-1)
v0eε=z1eε(j-1)-λ0eε|z0eε(j-1)-eεω(j-1)|0.5sgn(z0eε(j-1)-eεω(j-1))
z1eε(j)=Ts[-λ1eεsgn(z1eε(j-1)-v0eε)]+z1eε(j-1)
Wherein: i.e. iqeqε,iqnεRespectively obtaining high and low terminal sliding mode equivalent control quantity and sliding mode integral control quantity; i.e. iqεmax,iqεminRespectively high and low current limiting values; j. the design is a squareεThe load moment of inertia of the high-low motor is obtained; p is a radical ofεThe number of the pole pairs of the square high-low motor is counted; psiThe flux linkage coefficient of the high-low motor is obtained; b isεHigh and low system comprehensive viscous friction coefficients; gamma rayε,qε,PεHigh-low terminal sliding mode coefficients; k is a radical ofεε1ε2A high-low terminal sliding mode control coefficient; z is a radical of0lε(j),z1lε(j) Respectively a high-low terminal sliding form(j) The estimated value and the first-order estimated value of (c); lambda [ alpha ]0lε,λ1lεAre each l(j) Estimated 0 th and first order estimation coefficients; z is a radical of0ωε(j),z1ωε(j) Respectively high and low speed commands
Figure FDA0002848317300000078
The estimated value and the first-order estimated value of (c); lambda [ alpha ]0ωε,λ1ωεAre respectively as
Figure FDA0002848317300000079
Estimated 0 th and first order estimation coefficients; z is a radical of0eε(j),z1eε(j) Respectively high and low speed control error eεω(j) The estimated value and the first-order estimated value of (c); lambda [ alpha ]0eε,λ1eεAre each eεω(j) Estimated 0 th and first order estimation coefficients; v. of0lε,v0ωε,v0eεRespectively, the intermediate variables of the high and low state estimation.
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