NDLI: Model-deviation compensation control for uncertain systems with time delay

Content Provider	IEEE Xplore Digital Library
Author	Xiao-Jie Sun Hua Ye Shu-Min Fei
Copyright Year	2010
Description	Author affiliation: School of Automation, Southeast University, Nanjing, China, Key Laboratory of Measurement and Control of CSE of Ministry of Education, Southeast University, Nanjing, China (Xiao-Jie Sun; Hua Ye; Shu-Min Fei)
Abstract	A novel model-deviation compensation control strategy is developed for a class of uncertain systems with time delay in this paper. Taking an identified second-order plus dead-time (SOPDT) process for example, the whole design methodology is proposed, which integrates the prediction model, the sliding function design, the equivalent control term and the model-deviation compensation control law. Firstly the delay-ahead predictor with the feedback correction is constructed to weaken the affection of time delay in the system. Then by improving the classical sliding mode control, after obtaining the equivalent control term, the model-deviation compensation term is derived from the actual regulated response and the deviation to be eliminated, so that the modeling uncertainties and external disturbances can be restrained. Finally the establishment and feasible solution of LMI guarantee that the system output reaches the desired value. The simulation results verify the effectiveness of the proposed strategy.
Starting Page	1248
Ending Page	1251
File Size	776750
Page Count	4
File Format	PDF
ISBN	9781424474530
e-ISBN	9788993215021
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-27
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	IEEE International Conference on Control & Automation
Subject Keyword	Model-deviation compensation control Uncertain systems Uncertainty Delay effects Process control Prediction Predictive models Numerical models Time delay Sliding mode control
Content Type	Text
Resource Type	Article

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