scholarly journals Stair-like Multivariable Generalized Predictive Control of Pulverizing System in Thermal Power Plants

2018 ◽  
Vol 3 (1) ◽  
pp. 21
Author(s):  
Jiansheng ZHANG ◽  
Gang ZhANG ◽  
Yaokui GAO ◽  
Yong HU
Keyword(s):  
Predictive Control ◽  
Control Algorithm ◽  
Power Plants ◽  
Thermal Power ◽  
Engineering Application ◽  
Generalized Predictive Control ◽  
Practical Application ◽  
Efficient Utilization ◽  
Control Scheme ◽  
Control Schemes

Pulverizing system is an important part in the clean and efficient utilization of coal in thermal power plant, and the optimal control of the system is an important way to achieve this goal. This paper presents a stair-like multivariable generalized predictive control scheme for a pulverizing system. This control scheme focuses on the problem of predictive control algorithm in practical application, and integrates the feedforward experience in traditional control schemes of pulverizing system. Simulation results showed that the scheme are able to realize the decoupling control of the pulverizing system, avoid the problem of matrix inversion, reduce the amount of calculation, and has certain engineering application value.

The Application of Fuzzy Neural Network Generalized Predictive Control in Unit Plant Coordinated Control System

2014 ◽  
Vol 602-605 ◽  
pp. 1329-1331
Author(s):  
Shu Zhang ◽  
Hu Jun Ling ◽  
Zhen Lin Zhang ◽  
Meng Jie Hu ◽  
Yang Pang
Keyword(s):  
Neural Network ◽  
Mathematical Models ◽  
Predictive Control ◽  
Power Plants ◽  
Fuzzy Neural Network ◽  
Thermal Power ◽  
Coordinated Control ◽  
Steam Pressure ◽  
Generalized Predictive Control ◽  
Fuzzy Neural

The characteristic of unit coordinated control in thermal power plants having complex, nonlinear, larger time delay, and establishing mathematical models are very difficult. In the paper establish mathematical models of using fuzzy neural network system, make full use of the ability of fuzzy logic reasoning and neural network self-learning; using multivariable generalized predictive control strategy, Simulation results show that the use of fuzzy neural network generalized predictive control for good stability of main steam pressure , strong effectiveness of tracking the power grid load, and little fluctuation of different load conversion.

The Technology to Embed the Predictive Control Algorithm into Configuration Control Software at the DCS Level

2012 ◽  
Vol 433-440 ◽  
pp. 5556-5563
Author(s):  
Qian Qian Quan
Keyword(s):  
Predictive Control ◽  
Control Algorithm ◽  
Thermal Power ◽  
Control Software ◽  
Nonlinear Gain ◽  
Scheme Design ◽  
Complex Process ◽  
Control Scheme ◽  
Scheme Analysis ◽  
Configuration Control

The development work and proposes the technique to embed the predictive control algorithm into configuration control software at the DCS level. The thesis presents the technique and its application scheme to control CFBB super-heated steam temperature in a thermal power plant. The control scheme includes that the description of controlled plant characters, conventional control scheme analysis and improved control scheme design. It integrates feed-back and feed-forward DMC with DMC-PID cascade control and nonlinear gain-scheduling compensation for actuator. Satisfactory industrial application results show that such a control scheme has enhanced robustness to the complex process, and better control performance has been obtained.

Predictive control of thermal Power Plants

2004 ◽  
Vol 14 (4) ◽  
pp. 415-433 ◽  
Author(s):  
C. Aurora ◽  
L. Magni ◽  
R. Scattolini ◽  
P. Colombo ◽  
F. Pretolani ◽  
...  
Keyword(s):  
Predictive Control ◽  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants

The Research of Air Precooling System Based on Generalize Predictive Control Strategy

2013 ◽  
Vol 433-435 ◽  
pp. 1091-1098
Author(s):  
Wei Bo Yu ◽  
Cui Yuan Feng ◽  
Ting Ting Yang ◽  
Hong Jun Li
Keyword(s):  
Predictive Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Exchange Process ◽  
Generalized Predictive Control ◽  
Matlab Simulation ◽  
Control Effect ◽  
Heat Exchange Process ◽  
Complex Control System ◽  
And Control

The air precooling system heat exchange process is a complex control system with features such as: nonlinear, lag and random interference. So choose Generalized Predictive Control Algorithm that has low model dependence, good robustness and control effect, as well as easy to implement. But due to the large amount of calculation of traditional generalized predictive control and can't juggle quickness and overshoot problem, an improved generalized predictive control algorithm is proposed, then carry out the MATLAB simulation, the experimental results show that the algorithm can not only greatly reduce the amount of computation, but also can restrain the overshoot and its rapidity.

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