Partial State Reference Model Control Research Articles

Multivariable Q-parametrization for Rejection of Harmonic Disturbances

The design of accurate control becomes more difficult due to the complexity of industrial processes. In this paper, we are interested on the tracking of reference trajectories and the rejection of harmonic disturbances for discrete multi-input multi-output systems. A new control strategy based on the combination of partial state reference model control, internal model principle and Youla-Kucera parametrization for discrete multivariable systems isproposed. A numerical example shows that the proposed strategy gives a good performance in terms of rejecting harmonic disturbances and reference trajectories tracking.

EDF steam generator benchmark: The partial state reference model control approach

This paper presents a robust predictive control approach to a benchmark problem involving water level control in the steam generator of a nuclear power reactor. Control design is performed using a sensitivity function shaping procedure which broadly borrows from the robust control culture. Of fundamental interest, the control design model is obtained using an experimental identification approach developed from established results in system identification.

Partial state reference model adaptive control of batch and fed-batch chemical reactors

This paper presents a study where an adaptive partial state reference model (PSRM) controller is designed and experimentally implemented for temperature control in batch and fed-batch chemical reactors. The PSRM control design is carried out using a linear quadratic control within the delta operator formulation. The control allows to specify the tracking and regulation dynamics independently, while the delta formulation is motivated by the convergence of its performances to their continuous counterpart as well as its intrinsic numerical robustness.

The Partial State Reference Model Control Relevant Identification

Abstract This paper presents an iterative partial state reference model (PSRM) control relevant identification scheme designed within the delta operator formulation. The motivation of this iterative method is to carry out a joint design of identification and control with the intention of improving performances and stability robustness. The PSRM: control design, using a generalized predictive control approach, is motivated by its tracking performance. An experimental evaluation involving a flexible transmission system is made to demonstrate the applicability of the considered PSRM control system.

Experimental Evaluation of Partial State Reference Model Control Relevant Identification

This paper presents an iterative partial state reference model (PSRM) control relevant identification scheme designed within the delta operator formulation. The PSRM control design is motivated by its tracking performance and carried out using an LQG method. An experimental evaluation involving a flexible transmission system is made to demonstrate the applicability of the considered PSRM control system.

On the Adaptive Control of a Flexible Transmission System

This paper presents a set of real time experiments conducted to demonstrate the performances of a partial state reference model adaptive controller on a flexible transmission system. The partial state reference model control design is particularly derived using the generalized predictive control approach. Particular emphasis is put on those engineering design features of the adaptive controller, namely the tracking capability, the adaptation alertness and the robustness with respect to state disturbances and reduced order modelling.