Incremental Adaptive Fuzzy Control for Sensorless Stroke Control of A Halbach-type Linear Oscillatory Motor

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Lei, Meizhen^1 ; Wang, Liqiang^2

Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou

310018, China^1

Faculty of Mechanical and Automotive Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou

310018, China^2

关键词: Adaptive fuzzy control;    Adaptive fuzzy controller;    Conventional pid;    External disturbances;    Fuzzy inference mechanism;    Linear oscillatory motor;    Multi variables;    Tracking performance;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/5/052086/pdf
DOI  :  10.1088/1755-1315/108/5/052086

来源: IOP

【 摘 要 】

The halbach-type linear oscillatory motor (HT-LOM) is multi-variable, highly coupled, nonlinear and uncertain, and difficult to get a satisfied result by conventional PID control. An incremental adaptive fuzzy controller (IAFC) for stroke tracking was presented, which combined the merits of PID control, the fuzzy inference mechanism and the adaptive algorithm. The integral-operation is added to the conventional fuzzy control algorithm. The fuzzy scale factor can be online tuned according to the load force and stroke command. The simulation results indicate that the proposed control scheme can achieve satisfied stroke tracking performance and is robust with respect to parameter variations and external disturbance.