DocumentCode :
3009148
Title :
Dependable model predictive control for reliable constrained systems
Author :
Tri Tran
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ., Perth, WA, Australia
fYear :
2013
fDate :
25-28 Nov. 2013
Firstpage :
128
Lastpage :
133
Abstract :
The task of managing duty-standby predictive controllers in dependable control system for high-integrity applications is challenging owing to the output and input constraints on the multivariable systems. A novel synchronization method for redundant multivariable controllers applying the incremental dissipativity and the asymptotically positive-realness incremental-constraint (APRiC) is presented in this paper. As an alternative to the control summation in classical reliable control systems, only one scalar variable, which is the calculated supply rate, is exchanged among the member controllers. A dissipation-based quadratic constraint with respect to the control and output increments is developed from the APRiC for the redundant controllers in this approach. The APRiC is transformed into a quadratic constraint on the control vector, which is then imposed on the MPC optimization as a stability constraint. When a failure is detected, the stability constraint of the standby controller will be activated from the lower bound of the supply rate being transferred from the duty controller. The system is stabilized and dependable by the operations of such decentralized duty and standby architecture.
Keywords :
decentralised control; multivariable control systems; predictive control; stability; synchronisation; APRiC; MPC optimization; asymptotically positive-realness incremental-constraint; calculated supply rate; control increments; decentralized duty architecture; dependable control system; dissipation-based quadratic constraint; duty-standby predictive controllers; incremental dissipativity; input constraints; lower bound; model predictive control; multivariable systems; output constraints; output increments; quadratic constraint; redundant multivariable controllers; reliable constrained systems; scalar variable; stability constraint; standby architecture; synchronization method; Computer architecture; Control systems; Optimization; Predictive control; Rail transportation; Reliability; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Information Sciences (ICCAIS), 2013 International Conference on
Conference_Location :
Nha Trang
Print_ISBN :
978-1-4799-0569-0
Type :
conf
DOI :
10.1109/ICCAIS.2013.6720542
Filename :
6720542
Link To Document :
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