Title :
Improved Feed-Forward Command Governor Strategies for Constrained Discrete-Time Linear Systems
Author :
Casavola, Alessandro ; Garone, E. ; Tedesco, Francesco
Author_Institution :
Dept. of Inf., Modeling, Electron. & Syst. Eng. (DIMES), Univ. of Calabria, Calabria, Italy
Abstract :
This technical note presents an improved version of the Feed-Forward Command Governor (FF-CG) strategy recently proposed in for the supervision of input/state constrained discrete-time linear systems subject to bounded disturbances, whose main feature is not to require any explicit on-line measure (or estimation) of the state for its implementation. Although effective also in the case of bounded disturbances, the performance of earlier FF-CG schemes was mainly limited by the fact that such strategies were required to maintain constant their actions for a prescribed number of sampling steps. Here such a restriction is removed and the proposed FF-CG solution is allowed to update its action at each sampling step. Numerical simulations on a physical plant have been undertaken and comparisons with other strategies have been reported in order to show the effectiveness of the proposed approach.
Keywords :
discrete time systems; feedforward; linear systems; numerical analysis; FF-CG strategy; bounded disturbances; explicit online measure; feedforward command governor strategy; input-state constrained discrete-time linear systems; numerical simulations; physical plant; Command governor; linear systems; sensorless super vision;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2013.2270037