A Novel Method for PID Tuning Using a Modified Biogeography-Based Optimization Algorithm
Proportional integral derivative (PID) controller tuning is an area of interest for researchers. This paper presents a novel method for PID controller tuning using a modified biogeography-based optimization(MBBO) algorithm. Biogeography-based optimization (BBO) is a novel evolutionary algorithm that is based on the mathematical models of biogeography. Biogeography is the study of the geographical distribution of biological organisms. In the BBO model, problem solutions are represented as islands, and the sharing of features between solutions is represented as immigration and emigration between the islands. In this paper, a modified version of the BBO is proposed to improve its convergence. The MBBO algorithm is compared with the BBO using benchmarks functions. The proposed algorithm is applied to the problem of PID controller tuning and is compared with conventional biogeography-based optimization (BBO), and Particle swarm optimization (PSO).
Process Control evolutionary algorithm (EA) Biogeography-Based Optimizationand PID controller
M. M. Sayed M. S. Saad H. M. Emara E. E. Abou El-Zahab
All authors are with the department of Electrical Power and Machines,Cairo University, Egypt.
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
1654-1659
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）