An Improved Control Method to Solve Thin System Problem

Abstract:

Recently, research of non-square systems mainly focuses on fat system, and control approach to thin systems is less. This paper proposes a new method using improved selection control to square the systems and then design IMC controller for thin systems in which the number of output variables exceeds the number of input variables. This proposed method is applied to the control problem in which there is an output variable that is barely impact on the system. Then we use PSO method to seek the parameters. Then we can come to a conclusion that this method has better performance to reducing loop method through simulation. Moreover, this new method is simple and easy to implement.

• Periodical: Advanced Materials Research (Volumes 791-793)
• Pages: 807-812
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.791-793.807
• Online since: September 2013
• Authors: Chun Yang Fu, Qi Wang
• Keywords: IMC, Particle Swarm Optimization (PSO), PID, Selection Control, Thin Systems

References

[1] Li Changxian, Zhu Jing. Application study of single input and dual output fuzzy predictive coordinated control on grate cooler [J]. Journal of the Chinese Ceramic Society, 2002, 30(6): 707-711.

[2] Cheng Yunwa. Study of multivariable generalized predictive control [D]. Beijing University of Chemical Technology, (2005).

[3] Yang Maying, Wang Shuqing, WangJicheng. Coordinated predictive control strategy for const rained multivariable processes [J]. Control and Decision, 1996, 11(6): 686-689.

[4] Yan Guo. Study on internal model control of non-square system [D]. Beijing University of Chemical Technology, (2010).

[5] Yanjing Yao. The Research on Multivariable Internal Model Control Algorithm [D]. Beijing University of Chemical Technology, (2008).