Model Reference Adaptive Prediction Control of Steam Temperature Process in Power Plant

Yang, Zhi; Shen, Zhengwei; Ren, Ming

doi:10.1016/s1474-6670(17)51396-8

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…[5,6] Fuzzy control, which is one of the intelligent controls, has many features: it is non-linear control method, especially suitable for controlling non-linear system; it utilize engineering's experience to design Fuzzy controller; it is fit for complex system that can hardly be modeled; parameters of fuzzy controller are easily selected and justified arithmetic of control is simple and fast. [7,8] In this paper, the fuzzy rules depicted according to control objective are shown in Table .1 However, although fuzzy logic has these significant advantages, its biggest shortcoming reflected is the lack of self-learning ability and adaptive ability. [9] Next we describe the adaptation mechanism.…”

Section: Adaptive Fuzzy Pid Control Strategymentioning

confidence: 99%

Adaptive Fuzzy PID Control Applied in Boiler System of Power Plant

Liu

2014

AMM

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The boiler system in power plant consists mainly of a steam-water system and combustion system, which produce a high-pressure superheated steam to drive a generator in order to produce power. The steam temperature control of the boiler system is a critical operational consideration. Parameters of boiler producing process must be controlled strictly. But the boiler system has high nonlinearity, large delay, strong coupling and load disturbance. Therefore it is difficult to develop practical mathematical model of the control object using the traditional PID control. In order to realize the optimal control of steam temperature, this paper presents the adaptive fuzzy-PID control Strategy. Simulation results based on MATLAB show that the proposed strategy can largely improve the system response performance compared with the traditional PID control

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Section: Adaptive Fuzzy Pid Control Strategymentioning

confidence: 99%

Adaptive Fuzzy PID Control Applied in Boiler System of Power Plant

Liu

2014

AMM

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“…It has two classes, namely as congenital immune system and adaptive immune system that has adaptive learning function. [9,10,11] The adaptive fuzzy PID controller consists of two parts, one is a conventional PID controller and another is a adaptive fuzzy reasoning controller. The structure of the main steam pressure system in power plant is shown as Fig.…”

Section: Adaptive Fuzzy Pid Control Strategymentioning

confidence: 99%

Adaptive Fuzzy PID Applied in Steam Pressure Control System

Liu

Wang

2012

AMR

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Boiler steam pressure control system is important because of affecting the turbine speed directly. In engineering, the steam pressure control system is mostly dominated by traditional PID control. But the traditional PID control strategy can’t obtain satisfied control effects with the changing of the fuel and give-wind flow. The use of intelligent control strategy has been studied in recent years in order to improve steam pressure control. In this paper steam pressure control system with adaptive fuzzy PID control is presented, and the simulation results based on MATLAB show that the proposed algorithm can largely improve the system response performance compared to the traditional PID control.

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Fuzzy Immune PID Neural Network Control Method Based on Boiler Steam Pressure System

Li¹

2011

2011 Third Pacific-Asia Conference on Circuits, Communications and System (PACCS)

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Model Reference Adaptive Prediction Control of Steam Temperature Process in Power Plant

Cited by 3 publications

References 6 publications

Adaptive Fuzzy PID Control Applied in Boiler System of Power Plant

Adaptive Fuzzy PID Control Applied in Boiler System of Power Plant

Adaptive Fuzzy PID Applied in Steam Pressure Control System

Fuzzy Immune PID Neural Network Control Method Based on Boiler Steam Pressure System

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