Cascade PID Parameter Optimization of Main Steam Temperature Control System Based on Imperialist Competitive Algorithm

doi:10.16182/j.issn1004731x.joss.201702018

Abstract

Abstract: Thermal power plants for the main steam temperature are difficult to control, using Imperialist Competitive Algorithm to accomplish main steam temperature cascade control strategy simulation optimization. The main steam cascade PID control system with limiting and speed actuator as simulation object determined the appropriate error indicator function ITAE criterion. Several types of Cascade PID control scheme were compared. Simulation results show that Imperialist Competitive Algorithm is convenient and effective method of parameter optimization, and PID-PI cascade type system has better balanced dynamic performance, anti-interference ability.

Key words: the main steam system, cascade PID, Imperialist Competitive Algorithm, control constraints

CLC Number:

TP301.6

Liu Shuai, Liu Changliang. Cascade PID Parameter Optimization of Main Steam Temperature Control System Based on Imperialist Competitive Algorithm[J]. Journal of System Simulation, 2017, 29(2): 368-373.

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