Multi-Objective Biogeography-Based Optimization Algorithm for the Control of Robotic Manipulator

Abstract:

A novel multi-objective biogeography-based optimization algorithm (MBBO) is proposed and is applied to tune the parameters of PID controllers for robotic manipulator. In MBBO, a new migration operator with disturbance term is put forward to ensure the convergence of the population and promote the diversity of solutions. Simulation results on PID control for robotic manipulator show that the PID controllers tuned by MBBO have better reference tracking performance in closed loop.

• Periodical: Advanced Materials Research (Volume 659)
• Pages: 59-63
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.659.59
• Online since: January 2013
• Authors: Zhi Dan Xu, Hong Wei Mo, Zhi Jie Xu, Jian Qin Zhang
• Keywords: Biogeography-Based Optimization Algorithm, Multi-Objective Optimization (MOP), PID Controller, Robotic Manipulator Control

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