Abstract
In order to accurately control the rotation position of a pneumatic rotary actuator, the flow state of the gas and the motion state of the pneumatic rotary actuator in the pneumatic rotary actuator position servo system are analyzed in this paper. The mathematical model of the system and the experiment platform are established after that. An Adaptive Differential Evolution (ADE) algorithm which adaptively ameliorates the scaling factor and crossover probability in the process of individual evolution is proposed and applied to the parameter optimization of PD controller. The experimental platform is used to compare the controller with Differential Evolution (DE) algorithm and NCD-PID controller. Finally, the characteristics of the system are tested by increasing the inertial load. The experimental results illustrate that system using ADE-PD control strategy has greater position precision and faster response than using DE-PD and NCD-PID strategies, and shows great robustness.
Highlights
Pneumatic systems have been rapidly developed in industrial production because of the advantages of low cost, quick response, and great energy-saving [1,2,3]
Since Adaptive Differential Evolution (ADE) algorithm has fewer parameters, strong global convergence and rapid convergence [37], it is suitable for the parameters tuning of pneumatic rotary actuator servo system
It is used to optimize the control of the pneumatic rotary actuator servo system, and the parameters k p and k d of proportional and differential (PD) controller are tuned by Adaptive Differential Evolution (ADE) algorithm [39]
Summary
Pneumatic systems have been rapidly developed in industrial production because of the advantages of low cost, quick response, and great energy-saving [1,2,3]. Sci. 2018, 8, 406 directional control valves, we conclude that the valve MPYE-5-M5-010-B has very high sensitivity with virtually no dead zone In this text, only the position signal is fed back to the controller, and the result is output to the proportional valve, the fast and accurate response of the position can be realized. BAI [18] established a mathematical model for the servo system of a vane rotary actuator, and three parameters of PID control are optimized by fuzzy controller. While using Differential Evolution (DE) algorithm to optimize proportional and differential, DE-PD, needs the appropriate parameters to ensure a relatively good result. The results of experiment show that system using ADE-PD control strategy has greater position precision and faster response than using DE-PD and NCD-PID strategies, and shows great robustness
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