Design and Research of Temperature Control System Based on Generalized Predictive Control

Author(s):  
Yu Jingya ◽  
Yang Yi ◽  
Han Qingqing ◽  
Gu Haiqin ◽  
Ren Xiaolin ◽  
...  
2015 ◽  
Vol 713-715 ◽  
pp. 897-900
Author(s):  
Yun Feng Peng ◽  
Chang Shu ◽  
Xiang Lin Tan ◽  
Zhi Chao Shao

According to the unsatisfied control result in a military inertial navigation platform,a control method combined with generalized predictive control and PID control is proposed,accurate control can be realized in terms of time and temperature. MATLAB simulation is given to illustrate that this method satisfies expected requirements well,and is feasible and available.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Xiaoli Li ◽  
Jian Liu ◽  
Kang Wang ◽  
Fuqiang Wang ◽  
Yang Li

The reheat steam temperature control system of thermal power unit is a complex control object with time-varying parameters and large delay. In order to achieve precise control of reheat steam temperature, the performance of the reheat temperature control system is analyzed according to the data that are obtained based on the constrained predictive control algorithm. Firstly, the process and mathematical model of reheat steam temperature control system are introduced. Then the principle of constrained predictive control algorithm is analyzed. Finally, the steady-state values of control quantities of reheat steam temperature control system under different conditions are given by MATLAB simulation, and, by analyzing the steady-state values and steady-state time of the input and output of the system, the reference values and the regulating law of the control quantities and the specific constraint range of the control quantities of the system are given, which can provide reference data and theoretical basis for the field adjustment of the reheat steam temperature control system in power plant and improve the safety and effectiveness of the system.


2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Shuzhi Gao ◽  
Liangliang Luan

According to the nonlinear and parameters time-varying characteristics of stripper temperature control system, the PVC stripping process Generalized Predictive Control based on implicit algorithm is proposed. Firstly, supporting vector machine is adopted to dynamically modelize for the stripper temperature; Secondly, combining with real-time model linearized of nonlinear model, a predictive model is linearized for real-time online correction. Then, the implicit algorithm is used for optimal control law. Finally, the simulation results show that the algorithm has excellent validity and robustness of temperature control of the stripper.


2011 ◽  
Vol 464 ◽  
pp. 119-122 ◽  
Author(s):  
Yu Dong Tian

Urban rail transit is an important research field in the public traffic, and the subway station temperature control influences the performance of subway ventilation greatly. To aim at the problem, firstly the principle, algorithm and characteristics of predictive control method is analyzed; then a subway station temperature control system of urban rail transit and its characteristics are researched; at last, modeling of subway station temperature control system is advanced by applied the generalized predictive control in the view of technology application in order to resolve the control problems caused by time-change, long-hysteresis, uncertainty and strong-coupling to meet the require of temperature control characteristic.


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