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Dynamical Adaptive Particle Swarm Algorithm and Its Application to Optimization of PID Parameters

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Author(s): Jimin Li | Guolin Yu

Journal: American Journal of Operations Research
ISSN 2160-8830

Volume: 02;
Issue: 03;
Start page: 448;
Date: 2012;
Original page

Keywords: Particle Swarm Optimization | Dynamical Adaptive | PID Automatic Regulation System

ABSTRACT
Based on a new adaptive Particle Swarm Optimization algorithm with dynamically changing inertia weight (DAPSO), It is used to optimize parameters in PID controller. Compared to conventional PID methods, the simulation shows that this new method makes the optimization perfectly and convergence quickly.
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