scholarly journals State variable-fuzzy prediction control strategy for superheated steam temperature of thermal power units

2021 ◽  
Vol 25 (6 Part A) ◽  
pp. 4083-4090
Author(s):  
Xuan Tu ◽  
Jiakui Shi ◽  
Kun Yao ◽  
Jie Wan ◽  
Fei Qiao

With the large-scale grid connection of new energy power, the random fluctuation existing in the power system is intensified, which leads to frequent fluctuation of load instructions of thermal power units. It is of great significance to improve the variable load performance of the coal-fired units. It is more difficult to control the superheated steam temperature (SST). In order to improve the control performance of SST, a state variable fuzzy predictive control method is proposed in this paper. Firstly, Takagi-Sugeno fuzzy state observer is used to approximate the non-linear plant of the SST. At the same time, based on the state observer, a fuzzy state feedback controller is designed to improve its dynamic characteristics. Thirdly, based on the extended predictive model of the state feedback controller, a model predictive controller is designed to realize the SST tracking control. Dynamic simulation shows the effectiveness of the strategy.

2013 ◽  
Vol 23 (06) ◽  
pp. 1330018 ◽  
Author(s):  
MIN XIAO ◽  
WEI XING ZHENG ◽  
JINDE CAO

This paper proposes to use a state feedback method to control the Hopf bifurcation for a novel congestion control model, i.e. the exponential random early detection (RED) algorithm with a single link and a single source. The gain parameter of the congestion control model is chosen as the bifurcation parameter. The analysis shows that in the absence of the state feedback controller, the model loses stability via the Hopf bifurcation early, and can maintain a stationary sending rate only in a certain domain of the gain parameter. When applying the state feedback controller to the model, the onset of the undesirable Hopf bifurcation is postponed. Thus, the stability domain is extended, and the model possesses a stable sending rate in a larger parameter range. Furthermore, explicit formulae to determine the properties of the Hopf bifurcation are obtained. Numerical simulations are given to justify the validity of the state feedback controller in bifurcation control.


2013 ◽  
Vol 446-447 ◽  
pp. 728-732 ◽  
Author(s):  
Nikorn Kaewpraek ◽  
Wudhichai Assawinchaichote

This paper presents a Takagi-Sugeno (TS) fuzzy state-feedback controller based on a linear matrix inequality (LMI) approach for the permanent magnet synchronous generator of wind energy conversion system (PMSG-WECS). A dc/dc converter is considered to regulate the maximum power output of the system. To show its effectiveness, the dynamic model is replaced by the TS fuzzy model, which the proposed controller can be applied to the PMSG-WECS, while the controller gains can be obtained by solving set of a LMI approach. The proposed controller guarantees the stability of the system. Therefore, the performance of the proposed TS fuzzy state-feedback controller is assessed through the computer simulation.


2012 ◽  
Vol 516-517 ◽  
pp. 232-238 ◽  
Author(s):  
Jia Fei Yao ◽  
Li Yang Wang

Take the superheated steam system of a 330MW unit as the object, by means of the collection and research on the data of the overheating system of thermal power units and simulation tools in matlab, the results were analyzed, and then presents a construction method of the dynamic compensating function which take the load as the variable, at last, simulate and verify the constructor function.


2014 ◽  
Vol 704 ◽  
pp. 270-276
Author(s):  
Renato A. Aguiar ◽  
Fabrizio Leonardi

The primary goal of this work is to propose an alternative methodology as a first approach in the design of control systems by means of a feedback state gain. The proposed method is detailed and an application is presented. The results show relevant aspects regarding the state feedback gain, especially in regard to variation in the parameters of the plant.


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