CN106842957B - Ultrasonic motor servo control method based on output feedback controller - Google Patents

Ultrasonic motor servo control method based on output feedback controller Download PDF

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CN106842957B
CN106842957B CN201710162432.6A CN201710162432A CN106842957B CN 106842957 B CN106842957 B CN 106842957B CN 201710162432 A CN201710162432 A CN 201710162432A CN 106842957 B CN106842957 B CN 106842957B
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傅平
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Abstract

The invention relates to an ultrasonic motor servo control method based on an output feedback controller, which comprises the following steps: step S1: providing a base and an ultrasonic motor arranged on the base, wherein an output shaft at one side of the ultrasonic motor is connected with a photoelectric encoder, an output shaft at the other side of the ultrasonic motor is connected with a flywheel inertial load, an output shaft of the flywheel inertial load is connected with a torque sensor through a coupler, and a signal output end of the photoelectric encoder and a signal output end of the torque sensor are respectively connected to a control system; step S2: the control system is established on the basis of output feedback control, and a Lyapunov function is used as an adjusting function of the control system on a controller so as to obtain better control efficiency. The control system consists of a feedback controller and a motor, and the system of the whole controller is established on the basis of feedback calculation, so that better control efficiency can be obtained. The device and the control method thereof not only have high control accuracy, but also have simple and compact structure and good use effect.

Description

Ultrasonic motor servo control method based on output feedback controller
Technical Field
The invention relates to the field of motor controllers, in particular to an ultrasonic motor servo control method based on an output feedback controller.
Background
The existing ultrasonic motor servo control system has detection errors of output signals in design, which may cause estimation errors of control variables. To avoid this, we now propose a feedback adaptive control scheme. The control system can effectively improve the control efficiency of the system and further reduce the influence degree of the system on the uncertainty. Therefore, the position and speed control of the motor can obtain better dynamic characteristics.
Disclosure of Invention
In view of the above, the present invention provides an ultrasonic motor servo control method based on an output feedback controller, which not only has high control accuracy, but also has a simple and compact sampling device structure and a good use effect.
The invention is realized by adopting the following scheme: an ultrasonic motor servo control method based on an output feedback controller is characterized in that: the method comprises the following steps:
step S1: providing a base and an ultrasonic motor arranged on the base, wherein an output shaft at one side of the ultrasonic motor is connected with a photoelectric encoder, an output shaft at the other side of the ultrasonic motor is connected with a flywheel inertial load, an output shaft of the flywheel inertial load is connected with a torque sensor through a coupler, and a signal output end of the photoelectric encoder and a signal output end of the torque sensor are respectively connected to a control system;
step S2: the control system is established on the basis of output feedback control, and a Lyapunov function is used as an adjusting function of the control system on the controller so as to obtain better control efficiency; the dynamic equation of the control system is as follows:
Figure 1
wherein A is p=-B/J,B P=J/K t>0,C P-1/J; b is damping coefficient, J is moment of inertia, K tIs a current factor, T f(v) As frictional resistance torque, T LFor the load moment, U (t) is the output moment of the motor, θ rAnd (t) is a position signal measured by a photoelectric encoder.
Further, in step S1, the control system includes an ultrasonic motor driving control circuit, the ultrasonic motor driving control circuit includes a control chip circuit and a driving chip circuit, the signal output end of the photoelectric encoder is connected to the corresponding input end of the control chip circuit, the output end of the control chip circuit is connected to the corresponding input end of the driving chip circuit to drive the driving chip circuit, the driving frequency adjusting signal output end and the driving half-bridge circuit adjusting signal output end of the driving chip circuit are respectively connected to the corresponding input ends of the ultrasonic motor, and the controller is disposed in the control chip circuit.
Further, the coupling is an elastic coupling.
Furthermore, the ultrasonic motor, the photoelectric encoder and the torque sensor are fixed on the base through an ultrasonic motor fixing support, a photoelectric encoder fixing support and a torque sensor fixing support respectively.
Further, in step S2, if the parameters of the control system are known and no external force disturbance, cross coupling disturbance and friction exists, the standard model of the motor is represented by the following formula:
Figure BDA0001248918380000022
wherein A is nIs A pThe standard value of B nIs B PA standard value of the measured value;
if an uncertain item is generated, such as if the parameter value of the control system deviates from the standard value or the system has external force interference, cross coupling interference, friction torque and the like, the dynamic equation of the control system is modified to be as follows:
Figure BDA0001248918380000031
wherein, C nIs C PThe standard value of Δ A, Δ B, Δ C represents the small variation, D (t) is the uncertainty of the total set, and is defined as:
therefore, the boundary of the uncertainty items of the total set is assumed to be known, for example, | D (t) | ≦ ρ, ρ is a given normal number item, and in order to avoid the occurrence of unpredictable uncertainty items in the motor, the system is subjected to servo control by using feedback control;
the nonlinear system dynamics are re-expressed as:
Figure 3
above formula a iFor unknown constants and control gain parameters, Y iIs a known continuous or non-linear function, w is the control input, x 1(t)=x(t),x n=x (n-1),a=[-a 1,a 2,…,-a m] T, Y=[Y 1,Y 2,…,Y m] T
Figure BDA0001248918380000034
Indicating a bounded external disturbance,
Figure BDA0001248918380000036
u 0、w 0is the initial value of u, w, u is the output of the hysteretic system, d (t) is due to bd 1(w (t)) external disturbances, referred to as perturbation terms;
and outputting y:
Figure BDA0001248918380000041
wherein,
Figure BDA0001248918380000042
the filter used is shown in the following equation:
Figure BDA0001248918380000043
Figure BDA0001248918380000044
Figure BDA0001248918380000045
Figure BDA0001248918380000046
Figure BDA0001248918380000047
wherein k is [ k ] 1,…,k n] TMake the matrix
Figure BDA0001248918380000048
All characteristic values of (a) are located at a given stable position; using filters, state estimation errors
Figure BDA0001248918380000049
Satisfies the following conditions:
wherein,
the control system is then represented as:
Figure BDA00012489183800000412
Figure BDA00012489183800000413
Figure BDA00012489183800000414
thus:
Θ=[b m,…,b 0T] T
Figure BDA0001248918380000051
v i,222respectively represent v iThe second term of ε, ξ, all of its states are used for feedback;
the controller is implemented by following the following design steps, where c iI 1, …, ρ is a positive design parameter,
Figure BDA0001248918380000053
is an estimate of the value of theta and,
Figure BDA0001248918380000054
is that
Figure BDA0001248918380000055
And
Figure BDA0001248918380000057
is a normal number to be designed, and Θ 0Is a positive constant;
in the adaptive control design, the control target is realized by using output feedback, and coordinate transformation is firstly carried out:
z 1=y-y r(18)
Figure 100002_4
where y is the actual output, y rFor a given equation of the motion trajectory,
Figure BDA0001248918380000059
b m=a mc, c is a constant, m is the order of equation (5), α i-1Is the ith virtual control step;
the parameter updating rule is as follows:
Figure 5
Figure 100002_6
Figure 7
Figure 9
Figure 10
the further parameter updating rule is as follows:
Figure 11
the adjustment function is:
Figure 14
Figure 15
according to the above formula, the control process is stable and satisfies z i(i ═ 1,2, … n) → 0, then
Figure BDA0001248918380000068
Therefore, the system controls the rotation angle of the rotor of the motor by using an output feedback algorithm and then indirectly controls the speed of the motor by calculating the rotation angle of the rotor.
Compared with the prior art, the invention has the following beneficial effects: this may lead to chattering as a result of the discontinuous function involved in the control of a conventional backstepping controller. In order to reduce the occurrence of chatter, the invention uses an improved algorithm to effectively improve the control efficiency of the system, further reduce the influence degree of the system on uncertainty, improve the control accuracy and obtain better dynamic characteristics. In addition, the device has the advantages of reasonable design, simple and compact structure, low manufacturing cost, strong practicability and wide application prospect.
Drawings
Fig. 1 is a schematic structural diagram of an embodiment of the present invention.
Fig. 2 is a schematic diagram of a control circuit of an embodiment of the invention.
In the figure, 1-photoelectric encoder, 2-photoelectric encoder fixing bracket, 3-ultrasonic motor output shaft, 4-ultrasonic motor, 5-ultrasonic motor fixing bracket, 6-ultrasonic motor output shaft, 7-flywheel inertial load, 8-flywheel inertial load output shaft, 9-elastic coupling, 10-torque sensor, 11-torque sensor fixing bracket, 12-base, 13-control chip circuit, 14-driving chip circuit, 15, 16, 17-A, B, Z phase signal output by photoelectric encoder, 18, 19, 20, 21-driving frequency adjusting signal generated by driving chip circuit, 22-driving half-bridge circuit adjusting signal generated by driving chip circuit, 23, 24, 25, 26, 27, 28-driving chip circuit signal generated by controlling chip circuit, 29-ultrasonic motor drive control circuit.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
The embodiment provides an ultrasonic motor servo control method based on an output feedback controller, which is characterized in that: the method comprises the following steps:
step S1: as shown in fig. 1, a base 12 and an ultrasonic motor 4 arranged on the base 12 are provided, an output shaft 3 at one side of the ultrasonic motor 4 is connected with a photoelectric encoder 1, an output shaft 6 at the other side is connected with a flywheel inertial load 7, an output shaft 8 of the flywheel inertial load 7 is connected with a torque sensor 10 through an elastic coupling 9, and a signal output end of the photoelectric encoder 1 and a signal output end of the torque sensor 10 are respectively connected to a control system;
step S2: the control system is established on the basis of output feedback control, and a Lyapunov function is used as an adjusting function of the control system on the controller so as to obtain better control efficiency; the dynamic equation of the control system is as follows:
Figure 1
wherein A is p=-B/J,B P=J/K t>0,C P-1/J; b is damping coefficient, J is moment of inertia, K tIs a current factor, T f(v) As frictional resistance torque, T LFor the load moment, U (t) is the output moment of the motor, θ rAnd (t) is a position signal measured by a photoelectric encoder.
In this embodiment, in step S1, as shown in fig. 2, the control system includes an ultrasonic motor drive control circuit 29, the ultrasonic motor drive control circuit 29 includes a control chip circuit 13 and a driving chip circuit 14, the signal output end of the photoelectric encoder 1 is connected to a corresponding input end of the control chip circuit 13, the output end of the control chip circuit 13 is connected to a corresponding input end of the driving chip circuit 14 to drive the driving chip circuit 14, and the driving frequency adjusting signal output end and the driving half-bridge circuit adjusting signal output end of the driving chip circuit 14 are respectively connected to a corresponding input end of the ultrasonic motor 4. The driving chip circuit 14 generates a driving frequency adjusting signal and a driving half-bridge circuit adjusting signal to control the frequency, the phase and the on-off of A, B two-phase PWM output by the ultrasonic motor. Controlling the starting and stopping of the ultrasonic motor by switching on and off the output of the PWM wave; the optimal operation state of the motor is adjusted by adjusting the frequency of the output PWM wave and the phase difference of the two phases.
In this embodiment, the coupling is an elastic coupling.
In this embodiment, the ultrasonic motor 4, the photoelectric encoder 1, and the torque sensor 10 are fixed on the base 12 through the ultrasonic motor fixing bracket 5, the photoelectric encoder fixing bracket 2, and the torque sensor fixing bracket 11, respectively.
In the embodiment, the control system in the control method consists of a backstepping controller and a motor; in order to avoid unpredictable uncertainty items in the motor, a backstepping control method is used for controlling the system:
now, assuming that the parameters of the system are known and no external force disturbance, cross-coupling disturbance and friction exist, the standard model of the motor is shown as follows:
Figure BDA0001248918380000091
wherein A is nIs A pThe standard value of B nIs B PThe standard value of the measured value.
If an uncertain item is generated (such as the parameter value of the system deviates from the standard value or the system has external force interference, cross coupling interference, friction torque and the like), the dynamic equation of the control system is modified to be:
wherein, C nIs C PThe standard value of Δ A, Δ B, Δ C represents the small variation, D (t) is the uncertainty of the total set, and is defined as:
the boundaries of the aggregate uncertainty term are assumed to be known, e.g., | D (t) | ≦ ρ, ρ being a given normal number term. To avoid unpredictable uncertainties in the motor, the system is servo-controlled using feedback control.
The nonlinear system dynamics can be re-expressed as
Figure 3
Above formula a iFor unknown constants and control gain parameters, Y iIs a known continuous or non-linear function, w is the control input, x 1(t)=x(t),x n=x (n-1),a=[-a 1,a 2,…,-a m] T, Y=[Y 1,Y 2,…,Y m] T. These parameters may provide a degree of freedom in deciding on their suitability.
Figure BDA0001248918380000103
Indicating a bounded external disturbance,
Figure BDA0001248918380000104
u 0、w 0and u is the initial value of u and w, and u is the output of the hysteresis system. The influence of d (t) is due tobd 1(w (t)) is referred to as a perturbation term.
And outputting y:
Figure BDA0001248918380000105
wherein
Figure BDA0001248918380000106
The filter used is shown in the following equation:
Figure BDA0001248918380000043
Figure BDA0001248918380000044
Figure BDA0001248918380000045
Figure BDA0001248918380000046
Figure BDA0001248918380000047
wherein k is [ k ] 1,…,k n] TMake the matrix Is located at a given stable position. State estimation error using designed filters Satisfies the following conditions:
wherein,
Figure BDA0001248918380000116
then the system can be expressed as:
Figure BDA00012489183800000412
Figure BDA00012489183800000413
Figure BDA00012489183800000414
thus:
Θ=[b m,…,b 0T] T
Figure BDA0001248918380000051
v i,222respectively represent v iThe second term of ε, ξ all its states are available for feedback.
The controller design is achieved by following the following design steps, where c iI 1, …, ρ is a positive design parameter, is an estimate of the value of theta and,
Figure BDA0001248918380000122
is that And
Figure BDA0001248918380000125
is a normal number to be designed, and Θ 0Is a positive constant.
In the adaptive control design, the control target is realized by using output feedback, and coordinate transformation is firstly carried out:
z 1=y-y r(18)
where y is the actual output, y rFor a given equation of the motion trajectory, b m=a mc, c is a constant, m is the order of equation (5), α i-1Is the ith virtual control step.
The parameter updating rule is as follows:
Figure 5
Figure 7
Figure 9
Figure 10
the further parameter updating rule is as follows:
Figure 11
the adjustment function is:
Figure 14
Figure 15
the above process can be proven to be stable, satisfying z i(i ═ 1,2, … n) → 0, meaning that
Figure BDA0001248918380000137
Therefore, the control method controls the rotation angle of the rotor of the motor by using an output feedback algorithm, and then indirectly controls the speed of the motor by calculating the rotation angle of the rotor. The robust learning rule of the feedback control parameters is obtained by the Lyapunov stability theorem. When feedback adaptation is to be used to estimate the output term of the control system, the stability of the designed control system is ensured by the Lyapunov function.
The above description is only a preferred embodiment of the present invention, and all equivalent changes and modifications made in accordance with the claims of the present invention should be covered by the present invention.

Claims (4)

1. An ultrasonic motor servo control method based on an output feedback controller is characterized in that: the method comprises the following steps:
step S1: providing a base and an ultrasonic motor arranged on the base, wherein an output shaft at one side of the ultrasonic motor is connected with a photoelectric encoder, an output shaft at the other side of the ultrasonic motor is connected with a flywheel inertial load, an output shaft of the flywheel inertial load is connected with a torque sensor through a coupler, and a signal output end of the photoelectric encoder and a signal output end of the torque sensor are respectively connected to a control system;
step S2: the control system is established on the basis of output feedback control, and a Lyapunov function is used as an adjusting function of the control system on the controller so as to obtain better control efficiency; the dynamic equation of the control system is as follows:
Figure 2
wherein A is p=-B/J,B P=J/K t>0,C P-1/J; b is damping coefficient, J is moment of inertia, K tIs a current factor, T f(v) As frictional resistance torque, T LFor the load moment, U (t) is the output moment of the motor, θ r(t) is a position signal measured by a photoelectric encoder;
in step S2, if the parameters of the control system are known and no external force disturbance, cross-coupling disturbance, or friction exists, the standard model of the motor is represented by the following formula:
Figure FDA0002305922130000012
wherein A is nIs A pThe standard value of B nIs B PA standard value of the measured value;
if the parameter value of the control system deviates from the standard value or the system has external force interference, cross coupling interference and friction torque, the dynamic equation of the control system is modified into:
Figure FDA0002305922130000021
d (t) is an aggregate uncertainty term defined as:
wherein, C nIs C PThe standard values of the system, namely delta A, delta B and delta C represent small variation, so that the boundary of the uncertainty items of the total set is assumed to be | D (t) | less than or equal to rho, rho is a given normal number item, and in order to avoid the occurrence of unpredictable uncertainty items in the motor, the system is subjected to servo control by using feedback control;
the nonlinear system dynamics are re-expressed as:
above formula a iFor unknown constants and control gain parameters, Y iIs a known continuous or non-linear function, w is the control input, x 1(t)=x(t),x n=x (n-1),a=[-a 1,a 2, … ,-a m] T,Y=[Y 1,Y 2, … ,Y m] T
Figure FDA0002305922130000024
Figure FDA0002305922130000025
Indicating a bounded external disturbance,
Figure FDA0002305922130000026
u 0、w 0is the initial value of u, w, u is the output of the hysteretic system, d (t) is due to bd 1(w (t)) external disturbances, referred to as perturbation terms;
and outputting y:
Figure FDA0002305922130000027
wherein,
Figure FDA0002305922130000028
the filter used is shown in the following equation:
Figure FDA0002305922130000032
Figure FDA0002305922130000034
Figure FDA0002305922130000035
wherein k is [ k ] 1,…,k n] TMake the matrix
Figure FDA0002305922130000036
All characteristic values of (a) are located at a given stable position; using filters, state estimation errors Satisfies the following conditions:
Figure FDA0002305922130000038
wherein,
Figure FDA0002305922130000039
the control system is then represented as:
Figure FDA00023059221300000310
Figure FDA00023059221300000311
Figure FDA00023059221300000312
thus:
Θ=[b m,…,b 0T] T
Figure FDA00023059221300000313
v i,222respectively represent v iThe second term of ε, ξ, all of its states are used for feedback;
the controller is implemented by following the following design steps, where c iI 1, …, ρ is a positive design parameter,
Figure FDA0002305922130000041
is an estimate of the value of theta and,
Figure FDA0002305922130000042
is that
Figure FDA00023059221300000412
Figure FDA00023059221300000413
And
Figure FDA00023059221300000414
is a normal number to be designed, and Θ 0Is a positive constant;
in the adaptive control design, the control target is realized by using output feedback, and coordinate transformation is firstly carried out:
z 1=y-y r(18)
Figure FDA0002305922130000043
where y is the actual output, y rFor a given equation of the motion trajectory,
Figure FDA00023059221300000415
b m=a mc, c is a constant, m is the order of equation (5), α i-1Is the ith virtualA step of planning control;
the parameter updating rule is as follows:
Figure FDA0002305922130000044
Figure FDA0002305922130000045
Figure FDA0002305922130000046
Figure FDA0002305922130000047
Figure 6
the further parameter updating rule is as follows:
Figure FDA0002305922130000049
Figure FDA00023059221300000410
the adjustment function is:
Figure 8
Figure FDA0002305922130000052
Figure 12
according to the above formula, the control process is stable and satisfies z i→ 0, i ═ 1,2, … n, then
Figure FDA0002305922130000054
Therefore, the system controls the rotation angle of the rotor of the motor by using an output feedback algorithm and then indirectly controls the speed of the motor by calculating the rotation angle of the rotor.
2. The ultrasonic motor servo control method based on the output feedback controller according to claim 1, characterized in that: in step S1, the control system includes an ultrasonic motor drive control circuit, the ultrasonic motor drive control circuit includes control chip circuit and driver chip circuit, photoelectric encoder 'S signal output part with the corresponding input of control chip circuit is connected, the output of control chip circuit with the corresponding input of driver chip circuit is connected, in order to drive the driver chip circuit, driver chip circuit' S drive frequency adjustment signal output part and drive half-bridge circuit adjustment signal output part respectively with the corresponding input of ultrasonic motor is connected, the controller is located in the control chip circuit.
3. The ultrasonic motor servo control method based on the output feedback controller according to claim 1, characterized in that: in step S1, the coupling is an elastic coupling.
4. The ultrasonic motor servo control method based on the output feedback controller according to claim 1, characterized in that: in step S1, the ultrasonic motor, the photoelectric encoder, and the torque sensor are fixed to the base through an ultrasonic motor fixing bracket, a photoelectric encoder fixing bracket, and a torque sensor fixing bracket, respectively.
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CN106329986A (en) * 2016-08-09 2017-01-11 闽江学院 Adaptive backstepping servo control method of ultrasonic motor

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CN105223806A (en) * 2015-10-20 2016-01-06 闽江学院 Based on the supersonic motor fuzzy Neural Network Control Method of basis function network
CN106329986A (en) * 2016-08-09 2017-01-11 闽江学院 Adaptive backstepping servo control method of ultrasonic motor

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