Parameter Optimization of PID Controller for Boiler Combustion System by Applying Adaptive Immune Genetic Algorithm

Abstract:

For power plant boiler combustion control system has large inertia, nonlinear and other complex characteristics, a control algorithm of PID optimized by means of adaptive immune genetic algorithm is presented. A variety of improved schemes of GA were designed, include: initial population generating scheme, fitness function design scheme, immunization strategy, adaptive crossover probability and adaptive mutation probability design scheme. By taking the rise time, error integral and overshoot of system response as the performance index, and using genetic algorithm for real-coded of PID parameters, then a group of optimal values were obtained. Simulation results show that the method has a good dynamic performance, superior to the conventional PID controller.

• Periodical: Advanced Materials Research (Volumes 546-547)
• Pages: 961-966
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.546-547.961
• Online since: July 2012
• Authors: Fei Xiang, Shan Li
• Keywords: Adaptive Genetic Algorithm (GA), Boiler Combustion System, PID Parameter Optimization

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