A cultural algorithm based particle swarm optimization approach to linear brushless DC motor PID controller

Scientific Research and Essays

M. Khalid¹ 

关键词:  ;    Proportional-integral-derivative controller;    cultural algorithm;    particle swarm optimization;    DC motor;    step response.;   

DOI  :  10.5897/SRE11.613

学科分类：社会科学、人文和艺术（综合）

来源: Academic Journals

【 摘 要 】

This paper presents a new hybrid Cultural Algorithm (CA) based particle swarm optimization (PSO) that converges to a significantly more accurate solution then existing particle swarm optimization and which has also been applied to the linear brushless DC motor PID controller design. The utility of hybrid CA based PSO is demonstrated by determining the optimal proportional-integral-derivative (PID) controller parameters for speed control of a linear brushless DC motor and then compared with basic PSO method. The proposed hybrid approach has superior features including stable convergence characteristic and good computational efficiency, reducing the steady-state error (Ess), rise time (Tr), settling time (Ts) and maximum overshoot (Mp) in speed control of a linear brushless DC motor. The comparative experimental results has demonstrated the feasibility and effectiveness of the proposed novel approach.

【 授权许可】

CC BY