Motion control of omni-directional three-wheel robots by brain-emotional-learning-based intelligent controller

Authors:
Maziar A. Sharbafi;Caro Lucas;Roozbeh Daneshvar
Affiliations:
Department of Electrical and Computer Engineering, Mechatronics Research Laboratory, Azad University of Qazvin, Qazvin, Iran;Center of Excellence for Control and Intelligent Processing, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran;Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Year:
2010

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Abstract

An intelligent controller is applied to control the motion of an omni-directional robot in this paper. The controller is based on the brain-emotional-learning algorithm, which is inspired from a computational model of limbic system in the mammalian brain. The brain-emotional-learning-based intelligent controller (BELBIC)with quadratic reward, comparable to linear-quadratic-regulator (LQR) control, is used in an omni-directional robot. The contribution of BELBIC in improving the control system performance is shown via simulation and experimental implementation. The results show that this method can be used in more practical problems efficiently. Optimization of the control effort or other objectives like energy minimization, as additional concerns constitute other advantages of the proposed method.