Modified Particle Swarm Optimization Algorithm for Cross-coupled Controller Design of CNC Machine

• Main Authors: Pei-Yuan Chung, 鍾培元
• Other Authors: Chih-Min Lin
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/49142691183802415509

碩士 === 元智大學 === 電機工程學系 === 103 === Based on the particle swarm optimization (PSO) algorithm, we propose a modified particle swarm optimization (MPSO) algorithm for solving optimization problem and apply on the cross-coupled controller design of CNC machine. The proposed MPSO algorithm enhances the performance of PSO algorithm by adopting the concept of artificial bee colony algorithm, the instant update selection strategy which provides the newest inforamtion for other particles. Finally, the population manager is proposed to adjust the population size to balancing the computation effort and efficiency. Several illustration results of test functions are introduced to show the performance of the MPSO algorithm. Finally, we use the MPSO algorithm to solve the cross-coupled controller design and optimization of CNC machine. Simulation results and discussion are introduced to show the effectiveness and performance of the proposed approach.