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

Authors

Liu Shuai, 1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; ;
Changliang Liu, 2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;

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.

Recommended Citation

Shuai, Liu and Liu, Changliang (2020) "Cascade PID Parameter Optimization of Main Steam Temperature Control System Based on Imperialist Competitive Algorithm," Journal of System Simulation: Vol. 29: Iss. 2, Article 18.
DOI: 10.16182/j.issn1004731x.joss.201702018
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss2/18

First Page

368

Revised Date

2015-09-11

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201702018

Last Page

373

CLC

TP301.6

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.201702018