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

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 varia...

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Hauptverfasser: Tong Wang, Qingguang Chi, Chunfang Liu
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Qingguang Chi
Chunfang Liu
description 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.
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subjects Control systems
Feedforward systems
Friction
Friction Compensation
Genetic algorithms
Genetic Algorithms and Sliding Mode Variable Structure Control
Linear Servo System
Magnetic variables control
Parameter estimation
Permanent magnets
Robustness
Servomechanisms
Sliding mode control
title Parameter identification and compensation control of friction model for PMSLS based on genetic algorithms
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