CN110543096B - Force feedback composite control method suitable for electric simulation loading system - Google Patents

Force feedback composite control method suitable for electric simulation loading system Download PDF

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CN110543096B
CN110543096B CN201910879771.5A CN201910879771A CN110543096B CN 110543096 B CN110543096 B CN 110543096B CN 201910879771 A CN201910879771 A CN 201910879771A CN 110543096 B CN110543096 B CN 110543096B
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friction
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代昌华
宗长富
陈国迎
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Jilin University
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B11/00Automatic controllers
    • G05B11/01Automatic controllers electric
    • G05B11/36Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
    • G05B11/42Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.

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Abstract

The invention provides a force feedback composite control method suitable for an electric simulation loading system, and aims to improve the rapidity and the stability of a load accurate loading control process of the electric simulation loading system, reduce the influence of friction on the loading accuracy of a nonlinear system, reduce the influence of redundant force generated on a sensor by the motion of a steering engine of the electric simulation loading system on the loading accuracy and improve the overall control accuracy. The feedback control method based on the loading force provided by the invention comprises three parts, namely a fuzzy PI and feedforward controller, a friction compensator and a net force feedforward compensator. The control method has strong robustness, rapidness and accuracy, is suitable for practical engineering application, and has excellent universality.

Description

Force feedback composite control method suitable for electric simulation loading system
Technical Field
The invention belongs to the field of motor control, and particularly relates to a control method for load loading of an electric simulation loading system.
Background
In an electric analog loading system, a load motor requires the requirement of accurate loading of a load. However, the electric simulation loading system is a typical nonlinear system in engineering practice, and has strong nonlinear interference factors, particularly the influence of system friction. In addition, the requirement of accurate loading of the load is strongly influenced by redundant force generated on the sensor by the movement of the steering engine. How to eliminate the friction and the accurate loading of the redundant force on the load becomes a core problem of the control process of the electric simulation loading system. However, the addition of springs or other hardware in the system has the disadvantages of inconvenient design and installation and limited improvement effect.
Disclosure of Invention
In order to solve the problems, a force feedback composite control method suitable for accurate load loading of an electric simulation loading system is designed, and aims to overcome the influences of friction nonlinearity and redundant force of the electric simulation loading system and improve the load loading accuracy of the electric simulation loading system.
The technical scheme of the invention is described as follows by combining the attached drawings:
a force feedback composite control method suitable for accurate load loading of an electric simulation loading system is mainly composed of a fuzzy PI and feedforward controller, a friction compensator and a net force feedforward compensator, and is characterized in that: the output value of the fuzzy PI controller based on force feedback is used as a compensation value to compensate a target loading value, the output value is used as a main body of a control algorithm and is called as a fuzzy PI plus feedforward controller, meanwhile, a linear speed gain value which is twice the sum of the negative number of a force difference value after a limit value and the limit value becomes a friction compensator through the limit value, and finally, a net force corresponding to the acceleration of the sensor is multiplied by a compensation coefficient to form a net force feedforward compensator.
The main body controller is designed based on force feedback, and is provided with a feedforward link and a feedback control link, wherein the feedforward link takes a target loading value as a feedforward value, the feedback control link adopts a fuzzy PI controller, the fuzzy PI controller takes a fuzzy output incremental value as an input value of the PI controller, the output value of the fuzzy PI controller is taken as a compensation value, and rapidity, stability and robustness of a loading process are ensured by adjusting parameters of the fuzzy PI controller.
The friction compensator is designed by considering two factors of force difference and loading motor motion, meets the basic requirements of a Lugre friction model, and can set a maximum static friction value and a speed threshold value to reduce the adverse effect of friction on control.
The net force feedforward compensator multiplies the generalized force corresponding to the acceleration generated by the sensor driven by the steering engine or the connecting part of the sensor by the compensation coefficient to serve as a compensation value, and the compensation coefficient can be adjusted to meet the requirement of different systems on reduction of redundant force generated on the sensor due to the motion of the steering engine.
Drawings
Fig. 1 is a schematic structural diagram of a composite control method provided by the present invention.
Fig. 2 is a schematic structural diagram of an electric analog loading system provided in the present invention.
FIG. 3 is a schematic diagram of the characteristics of the friction compensator according to the present invention.
In the figure: 1 is a loading motor, 2 and 4 are connecting rods, 3 is a sensor, 5 is a steering engine, 6 and 8 are motor servo controllers, 7 is a console, FtargetIs a target value, FsensorIs the feedback value of the sensor, E is the force difference value, EC is the change rate of the force difference value, Delta U is the output increment value of the fuzzy controller, U is the output value of the fuzzy PI controller, omegalFor loading motor speed, +/-FfmaxIs the maximum static friction force, +/-omegathreFor loading motor speed threshold, TcIs the net force corresponding to the acceleration of the sensor, k is the compensation coefficient, Fo1For fuzzy PI plus feedforward controller output value, Fo2As output value of the friction compensator, Fo3As output value of the friction compensator, FoIs the output value of the compound control method.
Detailed Description
The embodiments of the present invention and the embodiments thereof are further illustrated by the following description in conjunction with the accompanying drawings:
the composite control method provided by the invention mainly depends on a fuzzy PI and feedforward controller, a friction compensator and a net force feedforward compensator to improve the load loading precision.
The input to the fuzzy PI plus feedforward controller is Ftarget(target values) and Fsensor(sensor feedback value) of Ftarget(target value) becomes a fuzzy PI plus one branch of the feedforward controller as a feedforward value, and the other branch is composed of a fuzzy PI controller. From Ftarget(target values) and FsensorThe force difference E and the change rate EC of the force difference (sensor feedback value) are input into a fuzzy controller through fuzzification processing, and after the fuzzy controller is processed, output delta U is an output increment value of the fuzzy controller. The output increment value becomes the input of the PI controller, and the PI parameter is adjusted to obtain the output value U of the fuzzy PI controller. The expression is as follows:
Figure BDA0002205536640000031
the fuzzy PI and feedforward controller has excellent rapidity due to a feedforward branch, has good robustness and adaptability due to the use of fuzzy control, and finally ensures loading precision due to the introduction of an integral term by the PI controller.
The input of the friction compensator is the loading motor rotating speed omegalAnd a force difference value E is obtained, the force difference value E is subjected to a negative passing limit value to form a branch of the friction compensator, and the other branch is a friction conversion process determined by the rotating speed of the loading motor. The friction conversion process determined by the rotation speed of the loading motor is used for converting the rotation speed omega of the loading motorlSelecting a threshold value of rotation speed + -omegathreThe dynamic and static friction is switched. At the same time, the rotational speed omega of the motor is loadedlMultiplying by a factor (F)fmaxthre) Converted to friction and finally multiplied by 2 to ensure that the conversion condition is reached when the direction of the friction force, controlled by the force difference E, is switched in the opposite direction due to the loading motor motion. And adding the output values of the two branches and processing the sum through a limiting value to obtain a compensation value of the friction compensator. The expression of the term
When | Ff1|<FfmaxWhen the temperature of the water is higher than the set temperature,
Figure BDA0002205536640000041
Fo2=Ff1 (3)
when | Ff1|≥FfmaxWhen the temperature of the water is higher than the set temperature,
Fo2=Ffmax·sign(Ff1) (4)
the characteristics of the friction compensator meet the requirements of fig. 3, the friction compensator can well eliminate the influence of friction nonlinearity on a system, and the friction compensator is very suitable for working conditions with active interference.
The input of the net force feedforward compensator is net force T corresponding to the acceleration of the sensorcThe net force TcThe feedback information of the two motors can be calculated in real time, and the feedback information can also be obtained by additionally arranging an acceleration sensor at the steering engine end. Corresponding to sensor accelerationNet force TcAnd multiplying the compensation coefficient k to obtain the compensation value of the net force feedforward compensator. The expression is:
Fo3=kTc (5)
the principle of the net force feedforward compensator is that: because the steering engine is rotating rapidly, severe instantaneous deformation is generated when the sensor 3 does not completely respond to the movement, because the movement is generated after the speed, the speed is generated after the acceleration, and the deformation is reflected to the force to be redundant force. The research shows that the change trend of the redundant force is similar to the acceleration trend, and the change trend of the redundant force is similar to the net force trend corresponding to the acceleration according to Newton's second law. The influence of the redundant force on the loading accuracy can be eliminated in a linear compensation mode.
The final total output value is:
Fo=Fo1+Fo2+Fo3 (6)
through the control of the three parts, the influence of friction nonlinearity and redundant force of the electric simulation loading system can be overcome, and meanwhile, the load loading precision of the electric simulation loading system is improved.

Claims (6)

1. A force feedback composite control method suitable for an electric simulation loading system is mainly composed of a fuzzy PI feedforward controller, a friction compensator and a net force feedforward compensator, and is characterized in that: the output value of the fuzzy PI controller based on force feedback is used as a compensation value to compensate a target loading value, so that the output value is used as a main body of a control algorithm and is called as a fuzzy PI plus feedforward controller, a friction compensator is added at the same time, and finally, a net force corresponding to the acceleration of the sensor is multiplied by a compensation coefficient to form a net force feedforward compensator; the friction compensator is implemented as follows: based on a Lugre friction model, the friction compensator which considers the force difference value and the motion of a loading motor and is suitable for the load loading working condition with strong displacement disturbance is provided with the following expression:
when | Ff1|<FfmaxWhen the temperature of the water is higher than the set temperature,
Figure FDA0002969028580000011
Fo2=Ff1 (3)
when | Ff1|≥FfmaxWhen the temperature of the water is higher than the set temperature,
Fo2=Ffmax·sign(Ff1) (4)
wherein, Ff1For the friction value intermediate variable, E for the force difference, FfmaxAt maximum static friction, ωthreFor loading motor speed threshold, omegalFor loading the motor speed, Sign is a Sign-taking function, Fo2Is the output value of the friction compensator.
2. The force feedback compound control method for an electric analog loading system according to claim 1, wherein: the control algorithm is not only suitable for a simple electric simulation loading system, but also suitable for a system upgraded based on the electric simulation loading system or other electric simulation loading type racks, platforms and the like designed by adopting the electric simulation loading system.
3. The force feedback compound control method for an electric analog loading system according to claim 1, wherein: the main body controller used is designed based on force feedback.
4. The force feedback compound control method for an electric analog loading system according to claim 1, wherein: the adopted main body controller is provided with a feedforward link and a feedback control link, the feedforward link takes a target loading value as a feedforward value, the feedback control link adopts a fuzzy PI controller, the fuzzy PI controller takes a fuzzy output increment value as an input value of the PI controller, an output value of the fuzzy PI controller is taken as a compensation value, and the expression is as follows:
Figure FDA0002969028580000021
wherein, Fo1For fuzzy PI plus feedforward controller output value, FtargetFor the target values, P and i are PI controller parameters, Δ U is the output increment value of the fuzzy controller, and T is the control period.
5. The force feedback compound control method for an electric analog loading system according to claim 1, wherein: the generalized force corresponding to the acceleration generated by the steering engine driving the sensor or the connecting part thereof is multiplied by the compensation coefficient to be used as a net force feedforward compensator, and the expression is as follows:
Fo3=kTc (5)
wherein, Fo3As output value of the friction compensator, TcAnd k is a compensation coefficient.
6. The force feedback compound control method for an electric analog loading system according to claim 1, wherein: the main body controller guarantees rapidity, stability and robustness of loading process through adjusting fuzzy PI controller parameter, and the friction compensator subducts the harmful effects of friction to control through setting up maximum static friction value, speed threshold, and the unnecessary power that the net power feedforward compensator subducts because steering wheel motion produces on the sensor through adjusting compensation parameter, and its expression is:
Fo=Fo1+Fo2+Fo3 (6)
wherein, FoIn order to finally control the output value, the three control algorithms are integrated to realize the accurate load of the electric simulation loading system.
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Inventor after: Dai Chang Hua

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