Title :
Adaptive multivariable state-space receding horizon control of a turbo-generator pilot plant
Author :
Gambier, A. ; Unbehauen, H.
Author_Institution :
Fac. of Electr. Eng., Ruhr-Univ., Bochum, Germany
Abstract :
The real-time results of an adaptive multivariable generalized state-space receding horizon control, applied to a turbo-generator pilot plant, are reported in this paper. The control algorithm consists of a state-space receding horizon tracking system, a constant-disturbances compensator and a parameters, state and constant-disturbances estimator based on an augmented bootstrap algorithm. The turbo-generator consisting of a turbine and asynchronous generator exhibits nonlinear and nonminimum phase behaviour in a stochastic environment
Keywords :
adaptive control; least squares approximations; machine control; multivariable control systems; observability; predictive control; recursive estimation; state estimation; state-space methods; synchronous generators; turbogenerators; adaptive multivariable state-space receding horizon control; asynchronous generator; augmented bootstrap algorithm; constant-disturbances compensator; nonlinear behaviour; nonminimum phase behaviour; state-space receding horizon tracking system; stochastic environment; turbine; turbo-generator pilot plant; Adaptive control; Control systems; MIMO; Paramagnetic resonance; Predictive control; Predictive models; Programmable control; State estimation; Technological innovation; Testing;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.577220
