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Intelligent Modified Predictive Optimal Control o

2010-1-26 · The main focus of this paper is to design a Modified Predictive Optimal Control (MPOC) scheme based on neural network modeling and particle swarm optimization (PSO) techniques for Reheater Steam Temperature (RST) control of a large-scale boiler unit [4]. A recurrent neural network is trained to directly model the temperature dynamic response of

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Ship Boiler Steam Pressure Control System Based on …

Author: Lu Jiaqi, You Qianliang, Zhang Mingming, Jiang Xiaoqi, Gu Jiaxin

PID Controller Tuning of a Boiler Control System …

Cited by: 3

The Application of Fuzzy Neural Network to Boiler Stea

Author: Lu Jiaqi, You Qianliang, Zhang Mingming, Jiang Xiaoqi, Gu JiaxinCited by: 32018-12-7 · 2. Fuzzy Neural Network Steam Pressure Control System According to the structure and characteristics of boiler combustion in thermal power plant, a kind of fuzzy neural network controller is presented and it may control the system on line. Its structure is shown in Figure 1. Fig. 1 Boiler steam pressure control loop.

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Neuro-Fuzzy Controller Design for MIMO Boiler …

Cited by: 1

Neural Network Based Superheater Steam Temperature

Cited by: 12015-8-11 · for neural network inverse method in applications to complex industrial processes [16-21]. To improve the SST control of a supercritical or an ultra-Liangyu Ma, Member, IEEE and Kwang Y. Lee, Life Fellow, IEEE Neural Network Based Superheater Steam Temperature Control for a Large-Scale Supercritical Boiler Unit I

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Controller design for MIMO boiler turbine proces

Request PDF on ResearchGate | Controller design for MIMO boiler turbine process | In present work ,a boiler turbine plant is presented as a 2x2 MIMO system with high multivariable interaction

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Neural network self-tuning PID control for boiler

Request PDF on ResearchGate | Neural network self-tuning PID control for boiler-turbine unit | In thermal power plant, conventional PID controller and direct energy balance (DEB) control strategy

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Comparison between PID and Artificial Neural

The results show a neural network is best controlled and superior performances of power plant from PID controller artificial neural network and PID have been applied in Al–Dura power plant in Baghdad. Therefore, neural networks have been extensively utilized in many industrial applications.

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Tuning of PID controllers for boiler-turbine uni

2014-12-18 · Tuning of PID controllers for boiler-turbine units Wen Tan,* Jizhen Liu, Fang Fang, Yanqiao Chen Department of Automation, North China Electric Power University, Zhuxinzhuang, Dewai, Beijing, 102206, People’s Republic of China

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