NDLI: LQG optimum controller design and simulation base on inter model control theory

Content Provider	IEEE Xplore Digital Library
Author	Qi-bing Jin Shi-bing Ren Ling Quan
Copyright Year	2009
Description	Author affiliation: Automation Research Institute, Beijing University of Chemical Technology, Information College, Beijing University of Chemical Technology, 100029, China (Qi-bing Jin; Shi-bing Ren) \|\| Automation Research Institute, Beijing University of Chemical Technology, 100029, China (Ling Quan)
Abstract	Base on the traditional internal model control(IMC) principle, the linear quadric Gauss optimal control(LQG) was adopted into the IMC construct in this article. Considering system random noise and measurement noise, based on the system performance index, the process model state feedback controller(LQ) and Kalman filter was designed, Thus the system controller is LQG controller which consist of LQ with Kalman filter and IMC controller, and has the advantages of LQG optimum control and tradition IMC. The simulation shows that this new method can overcome the influence of the parameter variation and system noise of the controlled object with time delay on control performance, and has strong robustness and good stability. In addition, the proposed method is easy to regulate, and it is fit for engineering applications.
Starting Page	62
Ending Page	65
File Size	203202
Page Count	4
File Format	PDF
ISBN	9781424447541
DOI	10.1109/ICICISYS.2009.5358234
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	LQG optimum control State feedback Robust stability Delay effects Kalman filter Correction controller Noise measurement System performance Simulation Optimal control Gaussian processes Control system synthesis Control theory Noise robustness Component IMC
Content Type	Text
Resource Type	Article

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