M. Hadad Zarif
Faculty of Electrical & Robotic Engineering, Shahrood University of Technology, Shahrood, Iran.
[ 1 ] - An indirect adaptive neuro-fuzzy speed control of induction motors
This paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. The uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. The contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...
[ 2 ] - Designing an adaptive fuzzy control for robot manipulators using PSO
This paper presents designing an optimal adaptive controller for tracking control of robot manipulators based on particle swarm optimization (PSO) algorithm. PSO algorithm has been employed to optimize parameters of the controller and hence to minimize the integral square of errors (ISE) as a performance criteria. In this paper, an improved PSO using logic is proposed to increase the convergenc...
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