The Application of New Predictive Functional Control in the Converter Gas Recovery System

Abstract:

In view of the characteristics of the converter differential pressure control system are nonlinear, large delay, uncertainty and large disturbance, the traditional PID control is strict with process model, which can't satisfy the requirement of tracking set point and suppressing disturbance. Predictive functional control is not strict with process model, it has good robustness, but has problem of large amount of calculation. By introducing the output prediction error and the output increment prediction error in the performance index function, a new predictive functional control algorithm with the PID structure is proposed, which combines ability of dealing with delay and robust for predictive function control with ability of favorable anti-interference and fast tracking for PID control. The simulation shows that the control strategy is feasible, and can obviously improve the dynamic quality and anti-interference ability of the converter differential pressure control system.

• Periodical: Applied Mechanics and Materials (Volume 685)
• Pages: 289-293
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.685.289
• Online since: October 2014
• Authors: Xiao Ming Liang, Hui Fang Wang
• Keywords: Differential Pressure Control, Gas Recovery System, Predictive Functional Control

References

[1] Zhonghai Ma: Research and Application of Optimal Control Technology in Converter Gas Recovery Process, Anhui University of Technology, 2011, In Chinese.

[2] Fucai Liu, Xiaoming Liang and Liping Sun: Control Engineering of China, Vol. 13(2006), P. 563, In Chinese.

[3] Jiayan Zhang, Zhonghai Ma, Shaoming Li, Fa Chang and Jiahong Lang: Chinese Tournal of Scientific Instrument, Vol. 32(2011), P. 628, In Chinese.

[4] Zhang, Xiaoming Liang, Ruiying Yao and Xiurong Ye: Industrial Control Computer, Vol. 23(2010), P. 49, In Chinese.

[5] Xu Zhang: The Converter Flue Gas Purification and Recycling System Optimization and Engineering Practice, Yanshan University, 2012, In Chinese.

[6] Jinkun LIU: Advanced PID control and MATLAB Simulation. (Publishing House of Electronics Industry, Beijing 2006), In Chinese.