Study of chemical dosing control system in power plants based on multi-model switching and improved smith pre-compensation

Author:

Zhang Liwen1,He Junjun1,Zhang Jian2,Li Nana3,Liu Min1

Affiliation:

1. School of Electrical Engineering, Henan University of Science and Technology, Luoyang, Henan, China

2. Center of Power Measurement, Xinyang Power Supply Company, Xinyang, Henan, China

3. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,General Engineering

Reference17 articles.

1. Adaptive fuzzy dynamic sliding mode control of nonlinear systems;Karami-Mollaee;International Journal of Engineering Transactions B: Applications,2016

2. Combination continuous action reinforcement learning automata and PSO for design of PID controller for AVR system;Hashemi;International Journal of Engineering Transactions A: Basics,2015

3. Intelligent PID control based on RBF neural network and Smith predictive compensation;Wang;Computer Engineering and Applications,2012

4. PID cascade control system of power plant main steam temperature with RBF network tuning;Liu;Journal of Power Engineering,2006

5. Application of PID control based on RBF network in temperature control system;Cai;Computer Engineering and Application,2006

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