DocumentCode :
3291621
Title :
Time-Delay Dependent State Feedback Fuzzy-Predictive Control of Time-Delay T-S Fuzzy Model
Author :
Wang, Shubin ; Wang, Yanyun ; Zhang, Lingkao
Author_Institution :
Res. Inst. of Autom., China Univ. of Pet., Beijing
Volume :
5
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
129
Lastpage :
133
Abstract :
A new predictive control approach based on time-delay T-S fuzzy model is developed by combining time-delay T-S fuzzy model and time-delay state feedback predictive control. Multi-time delayed states and multi-time delayed inputs are considered in the proposed predictive control algorithm. The predictive control is designed by using time-delay T-S fuzzy model as predictive model of the Time-delay state feedback predictive control. The algorithm utilizes time-delay T-S fuzzy model to get the state and output estimated value, and corrects the output estimated value by using the measurable process variable. Then in terms of optimal control theory, the control movement, which is used to control the whole nonlinear system, is calculated by the corrected estimated value and set-point value. The truck-trailer time-delay system is also simulated with different cases. The simulation result shows the effectiveness and feasibility of the proposed method.
Keywords :
control system synthesis; delay systems; fuzzy control; fuzzy set theory; nonlinear control systems; predictive control; state feedback; corrected estimated value; multi-time delayed inputs; multi-time delayed states; nonlinear system; optimal control theory; set-point value; time-delay T-S fuzzy model; time-delay dependent state feedback fuzzy-predictive control; truck-trailer time-delay system; Control systems; Delay; Fuzzy control; Nonlinear control systems; Optimal control; Prediction algorithms; Predictive control; Predictive models; State estimation; State feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Jinan Shandong
Print_ISBN :
978-0-7695-3305-6
Type :
conf
DOI :
10.1109/FSKD.2008.350
Filename :
4666510
Link To Document :
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