Abolfazl Ranjbar N.

Work place: Dept. of Computer and Electrical Engineering, Babol University of Technology, Babol, Iran

E-mail: a.ranjbar@nit.ac.ir


Research Interests: Computational Engineering, Engineering


Abolfazl. Ranjbar Noei was born in Gorgan, Iran in 1964. He received B.Sc. degree from Isfahan University of Technology, Isfahan, Iran in 1988 and M.Sc. degree from Tarbiat Modaress University, Tehran, Iran in 1992, both in Control Engineering. He received his Ph.D. degree in Control Engineering from Surrey University, UK, in 2000. He is currently an associate professor at Electrical Engineering Department, Babol University of Technology, Babol, Iran. His research interests are Machine Control, Nonlinear and Chaos systems, Robust and Adaptive Control and Fractional Calculus. E-mail:.a.ranjbar@nit.ac.ir

Author Articles
Optimal Design of a RISE Feedback Controller for a 3-DOF Robot Manipulator Using Particle Swarm Optimization

By Marzieh Yazdanzad Alireza Khosravi Abolfazl Ranjbar N. Pouria Sarhadi

DOI: https://doi.org/10.5815/ijitcs.2014.08.04, Pub. Date: 8 Jul. 2014

This paper presents an application of recently proposed robust integral of the sign of the error (RISE) feedback control scheme for a three degrees-of-freedom (DOF) robot manipulator tracking problem. This method compensates for nonlinear disturbances and uncertainties in the dynamic model, and results in asymptotic trajectory tracking. To avoid selecting parameters of the RISE controller by time-consuming trial and error method, particle swarm optimization (PSO) algorithm is employed. The objective of the PSO algorithm is to find a set of parameters that minimizes the mean of root squared error as the fitness function. The proposed method attains tracking goal, without any chattering in control input. Indeed, the existence of a unique integral sign term in the RISE controller avoids the occurrence of chattering phenomenon that usually happens in sliding mode controllers. Numerical simulations demonstrate the effectiveness of the proposed control scheme.

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