Simulation Research on Fuzzy Control of Main Steam Temperature in Power Series

Author:

Tian Si Qing1,Wei Qiang1,Mu Xiao Feng1

Affiliation:

1. Jiamusi University

Abstract

due to the characteristics of large delay, nonlinear super-heater, time-varying, multivariate and self-balance ability .It is difficult to establish accurate mathematical model, this paper uses the cascade fuzzy control, realize the effective control of the main steam temperature. Simulation results show that, the temperature cascade fuzzy control has fast dynamic response, good steady-state performance and robustness.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference7 articles.

1. Liu Shutang, Han Chongzhao. Adapctive inverse control [M]. Xi'an: Xi'an Jiao Tong University press, 2009, 9.

2. Yang Yanzhi, Mai edge. Application of fuzzy control in thermal power steam temperature control system [J]. Guangxi electric power, 2004. 27 (5).

3. Wang Guoyu, Han Pu. Fuzzy adaptive predictive function control [J]. proceedings of the CSEE China main steam temperature system, 2003, 10.

4. Wang Dongfeng, Han Pu et al. Application of [J]. to simplify the DMC-PID cascade control and in the steam temperature system in electric power science and engineering, 2003, 4.

5. Ruan Gang. New strategies for dynamic simulation of [J]. central China electric power boiler superheated steam temperature control, 2004, 17 (5).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generalized Predictive PID Control for Main Steam Temperature Based on Improved PSO Algorithm;Journal of Advanced Computational Intelligence and Intelligent Informatics;2017-05-19

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