Design fuzzy neural petri net controller for trajectory tracking control of mobile robot

In this paper, a Fuzzy Neural Petri Net (FNPN) controller has been designed established on Particle Swarm Optimization (PSO) for controlling the path tracking of Wheeled Mobile Robot (WMR). The path planning controller problem has been solved using two FNPN controllers to get the desired velocity an...

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Bibliographic Details
Published inInternational journal of engineering & technology (Dubai) Vol. 7; no. 4; p. 2256
Main Authors L. Saleh, Ameer, J. Mohammed, Mohammed, Sabri Kadhim, Ahmed, M. Raadthy, Hana’a, J. Mohammed, Hesham
Format Journal Article
LanguageEnglish
Published 17.09.2018
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Summary:In this paper, a Fuzzy Neural Petri Net (FNPN) controller has been designed established on Particle Swarm Optimization (PSO) for controlling the path tracking of Wheeled Mobile Robot (WMR). The path planning controller problem has been solved using two FNPN controllers to get the desired velocity and azimuth. The PSO method has used to detection the optimal values parameters of FNPN controllers. The overall models of wheeled mobile robot for path tracking control created on PSO algorithm are implemented in Simulink-Matlab. Simulation outcomes demonstrate the suggested FNPN controllers is more effectiveness and has good dynamic performance than the conventional methods. 
ISSN:2227-524X
2227-524X
DOI:10.14419/ijet.v7i4.16700