Predictive Control Algorithm in the Application of Computer Control

Abstract:

According to the error between the model predictive output and the future expected output, ILPC carries out an iterative learning and amending process on the current and the future control input vector, namely performs forecast, iterative amendment, forecast again, iterative amendment again repeatedly in the iterative domain. This paper gives a fast high-precision temperature control systems structure, characteristics and realization method. CARI model and the improved generalized predictive control method are used to improve the control precision of the system, and shorten the response time. The quick high precision temperature control systems structure and realization method are given, and according to the requirements of the task, the existing predictive control algorithm has been improved. Through the experiment, its temperature predictive control systems design scheme and realization method is proved to be reasonable and feasible. It can meet the demands for the expected temperature control.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 736-739
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.736
• Online since: September 2013
• Authors: Jing Liu, Yu Chi Zhao
• Keywords: Application, Computer Control, Predictive Control Algorithm

References

[1] Fu-Cai Liu, Xiao-Ming Liang. The Generalized Predictive Control and Synchronous Fast Algorithm of Henon System[J]. Physics Journal, 2005, 54(10): 4584-4589.

[2] Guo Jian, Qing-Wei Chen, Rujun Zhu. A Class of Nnonlinear System Adaptive Predictive Control [J]. Control Theory and Applications, 2002, 19(1): 68-72.

[3] Yao-Hua Hu, JIA Xin-le. The directive Algorithm of Generalized Predictive Control [J]. Control and Decision, 2000, 15(2): 221-223.

[4] Yi-Jing Wang, Zhi-Qiang Zuo. A New Generalized Predictive Control Fast Algorithm [J]. Pattern Recognition and Artificial Intelligence, 2002, 15(3): 295-298.

[5] Guo-Yong Li. The Simulation of Input Limited ImplicitGeneralized Predictive Control Algorithm [J]. Journal of System Simulation, 2004, 16(7): 1533-1535.

[6] Qing-Ding Guo, JIN Yuan-yu, Hua-yao Hu. To Solve The Recursion Algorithm of The Inverse Matrix of GPC [J]. Control and Decision, 1996, 11(4): 510-513.

[7] Liu Jun, Cui Hong. The Fast Algorithm of Input Limited Generalized Predictive Control [J]. Journal of Qingdao University of Science and Ttechnology, 2005, 26(6): 530-544.