Parameter identification and compensation control of friction model for PMSLS based on genetic algorithms

Author

Wang, Tong ; Chi, QingGuang ; Liu, ChunFang

Author_Institution

Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China

fYear

2010

fDate

26-28 May 2010

Firstpage

2391

Lastpage

2394

Abstract

In connection with high precision micro-feed and super low speed permanent magnet linear synchronous servo system (PMSLS), this essay adopts vector control to make up a three closed-loop system. The speed-loop and current-loop adopt IP controller, position-loop adopts second order sliding mode variable structure control to ensure fast tracking performance of system response, and then achieve high-precision micro-feed. In order to compensate friction disturbance and increase robustness, this essay adopts based on Genetic Algorithms friction model´s parameter identification on line and feed-forward compensation. According to Simulation result, the system has high robustness and steady state precision was improved.

Keywords

PI control; closed loop systems; electric current control; feedforward; genetic algorithms; machine vector control; mechanical variables control; parameter estimation; permanent magnet machines; position control; servomechanisms; variable structure systems; IP controller; PMSLS; closed-loop system; compensation control; current-loop; feedforward compensation; friction disturbance; friction model; genetic algorithm; high precision microfeed; parameter identification; position-loop; second order sliding mode variable structure control; speed-loop; super low speed permanent magnet linear synchronous servo system; vector control; Control systems; Feedforward systems; Friction; Genetic algorithms; Magnetic variables control; Parameter estimation; Permanent magnets; Robustness; Servomechanisms; Sliding mode control; Friction Compensation; Genetic Algorithms and Sliding Mode Variable Structure Control; Linear Servo System;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498800

Filename

5498800