Study on Predictive Control Technology Based on Disturbance of Electrically Heated Boiler

2013 ◽  
Vol 300-301 ◽  
pp. 1475-1478
Author(s):  
Ming Qiu Li ◽  
Shu Hua Jiang
Keyword(s):  
Predictive Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Dynamic Performance ◽  
Nonlinear Process ◽  
Settling Time ◽  
Dynamic Matrix Control ◽  
Dynamic Matrix ◽  
Matrix Control ◽  
Time Invariant

Electrically heated boiler is a large inertia, time invariant and nonlinear process. Classical PID control algorithm cannot make the system meet up the needs of performance index. Dynamic matrix control (DMC) predictive control algorithm is adopted to control electrically heated boiler temperature. Simulation result shows that the temperature control system’s overshoot is zero, settling time is 200s, the steady-state error is 9.7574e-006. Compared with PID control, DMC predictive control decreases the overshoot and settling time and improves the system dynamic performance. Aim at disturbance, improved DMC control algorithm is put forward and enhance the system disturbance suppression ability.

Study on Predictive Control Algorithm of Reactor Temperature

2013 ◽  
Vol 273 ◽  
pp. 631-635
Author(s):  
Ming Qiu Li ◽  
Yan Xin Yu
Keyword(s):  
Predictive Control ◽  
Control Algorithm ◽  
Dynamic Performance ◽  
Dynamic Matrix Control ◽  
Working Process ◽  
Dynamic Matrix ◽  
Performance Requirements ◽  
Productive Process ◽  
Reactor Temperature ◽  
Matrix Control

Reactor is hard to control because it has the characteristics of time-varying, nonlinear and large time delay. There are many uncertainties in its working process. In order to improve the dynamic performance of reactor temperature control, predictive control technology was adopted in this paper. On the basis of considering the system performance requirements and uncertainties, predictive control model was established. Improved dynamic matrix control (DMC) control algorithm with system uncertainty was designed to control reactor temperature. The simulation result shows that the system has no overshoot and its steady-state error is little than 6.2645e-004. The system has stronger robust performance when uncertainty parameter of system unknown uncertainty matrix G changes. Improved predictive DMC control algorithm can make the system have better dynamic performance than PID control and meet the need of the industry productive process.

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