Affiliation:
1. School of Mechanical Engineering, Shaanxi University of Technology, Hanzhong 723001, China
Abstract
An adaptive sliding mode control method based on the fuzzy exponential convergence law is proposed to solve the jitter problem caused by the sliding mode control of the servo-feed system and to improve the tracking performance of the system. The design of fuzzy rules for adaptive adjustment of convergence law parameters in sliding mode control improves the convergence speed of the sliding mode function, eliminates unknown disturbances in the system, and weakens the chattering of the system. The proposed method is simulated and experimentally verified by a parallel mobile platform. The results show that the sliding mode control method based on the fuzzy convergence law has strong disturbance suppression capability, high position tracking accuracy, and effective chattering suppression, and the maximum tracking error is reduced by 43.1% and 31.5%, respectively, compared with PID control and exponential sliding mode control.
Funder
haanxi Provincial Key Laboratory of Industrial Automation and Shaanxi Provincial Engineering Research Center for Landing Gear and Aircraft Structural Parts Manufacturing and Testing in Universities
Shaanxi Provincial Two Chain Integration Project
Shaanxi Provincial Key Industrial Innovation Chain Project
Shaanxi Provincial Science and Technology Department Key Project “The key technology research and equipment development of sensor parameter calibration integration”
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
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