Artificial Intelligence Resources in Control and Automation Engineering

Author(s): Boumediène Allaoua

DOI: 10.2174/978160805126711201010003

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Intelligent PID DC Motor Speed Control Alteration Parameters Using Particle Swarm Optimization

Pp: 3-14 (12)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

In this paper, an intelligent controller of DC Motor drive is designed using Particle Swarm Optimization (PSO) method for formation of optimal Proportional-Integral-Derivative (PID) controller alteration parameters. The proposed approach has superior feature, including easy implementation, stable convergence characteristics and very good computational performances efficiency. The DC Motor Scheduling PID-PSO controller is modeled in MATLAB environment. Comparing with fuzzy logic controller using PSO intelligent algorithms, the planned method is more proficient in improving the speed loop response stability, the steady state error is reduced, the rising time is made suitable and the disturbances do not affect the performances of driving motor with no overtaking.

Keywords:

Intelligent controller, DC motor, particle swam optimization, PID controller, fuzzy logic

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