Research on fuzzy adaptive PID control of balance cylinder of hydraulic support

BAI Shu-jiang, YUAN Hong-bing, GAO Fei, LIAN Zi-sheng
(College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China)

Abstract: Aiming at the problems of poor adaptability and weak antiinterference ability of the hydraulic support balance cylinder position control system, the position control method of the balance cylinder was investigated. The fuzzy control with better robustness and the conventional PID were combined effectively, the selfregulation of PID parameters was realized, and the adaptability of conventional PID was further improved. Based on the analysis of the structure principle of valvecontrolled asymmetric cylinder, the mathematical model of the balance cylinder position control system was established, and the AMESimSimulink joint simulation model was used to carry out the simulation experiment, and the control effects of conventional PID and fuzzy PID under the condition of impact load or not were analyzed and comparing. The results indicate that comparing with the traditional PID controller, the adjusting time of the step signal of the fuzzy PID controller is shortened by about 2 times, and the overshoot is reduced by 12%. Under the impact load, the antiinterference ability and response speed of the fuzzy PID controller are obviously better than the traditional PID, which can maintain the balance cylinder at the target position, and has better control effect and dynamic stability.

Key words: hydraulic support; balance cylinder position control; fuzzy adaptive PID control; AMESim-Simulink simulation