Feedback-feedforward fuzzy logic control for superheated steam temperature regulation in thermal power plant

2009 ◽  
Author(s):  
Ali Chaibakhsh ◽  
Ali Ghaffari ◽  
Mohsen Rahrovan
Keyword(s):  
Fuzzy Logic ◽  
Power Plant ◽  
Temperature Regulation ◽  
Thermal Power Plant ◽  
Fuzzy Logic Control ◽  
Superheated Steam ◽  
Thermal Power ◽  
Steam Temperature ◽  
Logic Control ◽  
Superheated Steam Temperature

A Research on Superheated Steam Temperature Control Optimization of the Thermal Power Plant on the Basis of Steam Temperature Characteristics

2012 ◽  
Vol 516-517 ◽  
pp. 232-238 ◽  
Author(s):  
Jia Fei Yao ◽  
Li Yang Wang
Keyword(s):  
Power Plant ◽  
Temperature Control ◽  
Thermal Power Plant ◽  
Superheated Steam ◽  
Thermal Power ◽  
Steam Temperature ◽  
Simulation Tools ◽  
Control Optimization ◽  
Superheated Steam Temperature ◽  
Steam System

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.

scholarly journals Design of H2/H∞ RMPC for Boiler Superheated Steam Temperature Based on Memoryless Feedback Multistep Strategy

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Pu Han ◽  
Miao Liu ◽  
Dongfeng Wang ◽  
Hao Jia
Keyword(s):  
Power Plant ◽  
Predictive Control ◽  
Thermal Power Plant ◽  
Uncertain Systems ◽  
Superheated Steam ◽  
Tracking System ◽  
Thermal Power ◽  
System Stability ◽  
Steam Temperature ◽  
Superheated Steam Temperature

The collection of superheated steam temperature models of a thermal power plant under different loads can be approximated to “multimodel” linear uncertain systems. After transformation, the tracking system was obtained from “multimodel” linear uncertain systems. For this tracking uncertain system, a mixed H2/H∞ robust model predictive control (HRMPC) based on a memoryless feedback multistep strategy is proposed. A multistep control strategy combines the advantages of predictive control rolling optimization with memoryless feedback control thoughts. It could effectively decrease the controller optimization parameter and ensure closed-loop system stability, and, at the same time, it also achieved acceptable control performance. Successful application to the superheated steam temperature system of a 300 MW thermal power plant verified the study of the HRMPC-P cascade controller design scheme in terms of feasibility and effectiveness.

Design of MPC for Superheated Steam Temperature Control in a Coal-fired Thermal Power Plant

2016 ◽  
Vol 4 (1) ◽  
pp. 73
Author(s):  
A. Yasmine Begum ◽  
G. V. Marutheeswar
Keyword(s):  
Power Plant ◽  
Temperature Control ◽  
Thermal Power Plant ◽  
Superheated Steam ◽  
Thermal Power ◽  
Generation Process ◽  
Steam Temperature ◽  
Steam Generation ◽  
Load Following ◽  
Superheated Steam Temperature

<p>A superheater is a vital part of the steam generation process in the boiler-turbine system. Reliable control of temperature in the superheated steam temperature system is essential to guarantee efficiency and high load-following capability in the operation of coal-fired Thermal power plant. The PI and PID controllers are extensively used in cascade control of secondary superheated steam temperature process.The design and implementation of a Model Predictive Control (MPC) strategy for the superheated steam temperature regulation in a thermal power plant is presented. A FOPTD model  is derived from  the dynamic model of the superheater. This model is required by the MPC algorithm to calculate the future control inputs. A new MPC controller is designed and its performance is tested through simulation studies. Compared with the superheater steam temperature control using a conventional PID controller, the steam temperature controlled by the MPC controller is found to be more stable. The stable steam temperature leads to energy saving and efficient plant operation, as verified by the simulation results. </p>

scholarly journals Adaptive Robust and Careful Control Applied to Steam Temperature Regulation of a Thermal Power Plant

1996 ◽  
Vol 29 (1) ◽  
pp. 6957-6962
Author(s):  
L.S. Zhiteckij ◽  
V.I. Skurikhin ◽  
N.M. Procenko ◽  
N.A. Sapunova
Keyword(s):  
Power Plant ◽  
Temperature Regulation ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Steam Temperature ◽  
Careful Control

Adaptive PID Cascade Control for Superheated Steam Temperature Based on Inverse Model

2011 ◽  
Vol 133 (11) ◽  
Author(s):  
Zhijie Wang ◽  
Guangjun Wang ◽  
Hong Chen
Keyword(s):  
Control System ◽  
Power Plant ◽  
Superheated Steam ◽  
Thermal Power ◽  
Control Process ◽  
Inverse Model ◽  
Cascade Control ◽  
Steam Temperature ◽  
Superheated Steam Temperature ◽  
Cascade Control System

Since the superheated steam temperature system of boiler in thermal power plant is characterized as time varying and nonlinear, it is hard to achieve a satisfactory performance by the conventional proportional-integral-derivative (PID) cascade control scheme. This paper presents a design method of adaptive PID cascade control system for superheated steam temperature based on inverse model: First, the inner loop and the outer process in the cascade control system are equivalent to a generalized plant. A simplified Takagi–Sugeno (STS) fuzzy model is adopted to identify the inverse model of the generalized plant. By choosing the appropriate structure and optimizing with constrains for the parameters of the inverse model, the organic combination of the PID primary controller with the inverse model is realized. To maintain the structure of the existing conventional PID cascade control system in power plant without change, in the control process, the parameters of the primary controller are adjusted on-line according to the identification result of the inverse model of the generalized plant; thus an adaptive PID cascade control system is formed, which matches with the characteristics of the controlled plant. Through the simulation experiments of controlling superheated steam temperature, it is illustrated that the proposed scheme has good adaptability and anti-interference ability.

Steam Temperature Prediction Control for Thermal Power Plant

1984 ◽  
Vol PER-4 (9) ◽  
pp. 30-30
Author(s):  
Y. Sato ◽  
M. Nomura ◽  
H. Matsumoto ◽  
M. Iioka
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Steam Temperature ◽  
Temperature Prediction ◽  
Prediction Control

Fuzzy logic control of a solar power plant

1995 ◽  
Vol 3 (4) ◽  
pp. 459-468 ◽  
Author(s):  
F.R. Rubio ◽  
M. Berenguel ◽  
E.F. Camacho
Keyword(s):  
Fuzzy Logic ◽  
Power Plant ◽  
Fuzzy Logic Control ◽  
Solar Power ◽  
Solar Power Plant ◽  
Logic Control
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