M. Moradizirkohi
Department of Electrical Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran.
[ 1 ] - Direct adaptive fuzzy control of flexible-joint robots including actuator dynamics using particle swarm optimization
In this paper a novel direct adaptive fuzzy system is proposed to control flexible-joints robot including actuator dynamics. The design includes two interior loops: the inner loop controls the motor position using proposed approach while the outer loop controls the joint angle of the robot using a PID control law. One novelty of this paper is the use of a PSO algorithm for optimizing the contro...
[ 2 ] - An Efficient Optimal Fractional Emotional Intelligent Controller for an AVR System in Power Systems
In this paper, a high-performance optimal fractional emotional intelligent controller for an Automatic Voltage Regulator (AVR) in power system using Cuckoo optimization algorithm (COA) is proposed. AVR is the main controller within the excitation system that preserves the terminal voltage of a synchronous generator at a specified level. The proposed control strategy is based on brain emotional ...
[ 3 ] - Designing fuzzy-sliding mode controller with adaptive sliding surface for vector control of induction motors considering structured and non-structured uncertainties
Induction motors with nonlinear dynamics are superior in terms of size, weight, motor inertia, maximum speed, efficiency, and cost than direct current machines, and hence their control is of great important. The main objective of this paper is to design a fuzzy sliding mode controller in order to control the position of the induction motor including parametric and non-parametric uncertainties b...
Co-Authors