Application of Fuzzy Immune PID Controller Based on Particle Swarm Optimization in Power Plant Steam Temperature Control System

Abstract:

Power plant steam temperature control has characteristics of long delay and great inertia, a new method is proposed by analyzing above-mentioned problems and existing control methods on this paper. The method consists of an improved particle swarm optimization algorithm and a fuzzy immune PID controller. In addition, simulation results of PID, traditional fuzzy immune PID and fuzzy immune PID based on PSO are presented and compared. Fuzzy immune PID Control based on PSO has advantages of short adjustment time, quicker response time, better anti-interference ability and more stability. It can reduce the fluctuation of power plant steam temperature, and has better control performance and practical value.

• Periodical: Advanced Materials Research (Volume 950)
• Pages: 257-262
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.950.257
• Online since: June 2014
• Authors: Fei Hu*, Wu Neng Zhou
• Keywords: Fuzzy Immune, Particle Swarm Optimization (PSO), PID Controller, Superheated Steam Temperature Control

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