DocumentCode
2555265
Title
Emulator-based DGPC with state feedback
Author
Yi, CHuankun ; Liu, Xiaohua
Author_Institution
Sch. of Math. & Inf., Ludong Univ., Yantai
fYear
2008
fDate
2-4 July 2008
Firstpage
834
Lastpage
838
Abstract
For sampled dynamic systems, the delta operator is an attractive alternative to the shift operator. Knowing that at rapid sampling rates, system using the delta operator shows better numerical properties and a closer rapprochement to the continuous-time description. In the paper, emulator-based DGPC (delta-operator generalized predictive control) with state feedback is proposed. The state space form of emulator based DGPC is discussed and the state feedback one step ahead predictive control are adopted, the paper presents the controller with output prediction feedback and state feedback for fast sampled adaptive control systems. The structure of state feedback generalized predictive control in delta domain is a dynamic state variable feedback control using the estimated state variable feedback control. Due to the established state dynamic feedback, the ability of rejection undetectable disturbance is increased. The numerical example shows the effectiveness of the proposed algorithm.
Keywords
adaptive control; continuous time systems; predictive control; sampled data systems; state feedback; continuous-time description; delta operator; delta-operator generalized predictive control; dynamic state variable feedback control; emulator-based DGPC; fast sampled adaptive control systems; output prediction feedback; rapid sampling rates; sampled dynamic systems; shift operator; state feedback one step ahead predictive control; Adaptive control; Control systems; Feedback control; Mathematics; Output feedback; Predictive control; Sampling methods; State estimation; State feedback; State-space methods; Delta-operator; Emulator-based DGPC; State space State-feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4597430
Filename
4597430
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