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Takagi-Sugeno Fuzzy formation control of nonholonomic robots

Narges Aghaie Karim, Mahdi Alinaghizadeh Ardestani

Year
2016
Citations
6

Abstract

In this paper, a new controller is proposed to solve a formation control problem in the leader-follower framework. The proposed controller is based on Takagi-Sugeno Fuzzy algorithm. The control laws have 25 rules for velocity and angular velocity control loops of nonholonomic robot. As a result, the formation is achieved with much more enhanced robust formation performance. Simulation results illustrate the improved performance of the proposed controller compared to PID adaptive controller.

Keywords

Control theory (sociology)Nonholonomic systemController (irrigation)Fuzzy control systemFuzzy logicAngular velocityPID controllerComputer scienceControl engineeringRobot

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