This paper shows an experimental design where two steps are carried out: (i) the identification of a low order state representation through temperature evolutions corresponding to step responses of a system, (ii) the ...
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This paper shows an experimental design where two steps are carried out: (i) the identification of a low order state representation through temperature evolutions corresponding to step responses of a system, (ii) the use of this model to solve an inverse heat conduction problem (IHCP) consisting in the estimation of several strength variations generated by heat sources from time-varying temperature evolutions. Experiments are realized on a 3D heat conductive system (a thick stainless steel tube) in which are set four heat sources, a fifth thermal strength consists in an applied flux boundary condition. After the model identification, a sequential method is used for the resolution of the IHCP: from temperature measurements, the evolutions of the five strengths are identified and compared to the electrical measurements. (C) 2002 Editions scientifiques et medicales Elsevier SAS. All rights reserved.
The design of decentralised robust load frequency control for interconnected multi-area power systems is studied in this paper. It is shown that although the design can be naturally formulated as a large-scale system ...
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The design of decentralised robust load frequency control for interconnected multi-area power systems is studied in this paper. It is shown that although the design can be naturally formulated as a large-scale system decentralised control problem, it can be translated into an equivalent problem of decentralised controller design for a multi-input multi-output (MIMO) control system. It is known that simple controllers can be designed to achieve satisfactory performances if diagonal dominance can be achieved in a multivariable system. This is further extended in this paper. Using the design method proposed in this paper, even when the diagonal dominance cannot be achieved, subject to a condition based on the structured singular values (SSVs), each local area load-frequency controller can be designed independently. The robust stability condition for the overall system can be easily stated as to achieve a sufficient interaction margin, and a sufficient gain and phase margin during each independent design. (C) 2001 Elsevier Science Ltd. All rights reserved.
This paper describes a multivariable modeling and control strategy that increases the bandwidth of isotropic force transmission in multi-degree of freedom haptic interfaces. The controller structure leads to a straigh...
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This paper describes a multivariable modeling and control strategy that increases the bandwidth of isotropic force transmission in multi-degree of freedom haptic interfaces. The controller structure leads to a straightforward model identification procedure and yields a simple control law that can be easily implemented. Experimental results show that this technique significantly improves force tracking performance on a 5 degree-of-freedom in-parallel haptic interface.
Power systems are non-linear and they are often subjected to random disturbances. Therefore stochastic controllers with on-line system identification are ideally suited to power system control problems. Experience wit...
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Power systems are non-linear and they are often subjected to random disturbances. Therefore stochastic controllers with on-line system identification are ideally suited to power system control problems. Experience with a real time implementation of an adaptive power system stabiliser to damp the dynamic oscillations of a power system is presented. A multi-input multi-output (MIMO) pole shifting control algorithm together with a least-square system identification is used. The system identification is improved using a variable forgetting factor in the recursive least-squares algorithm. The computation time was greatly reduced by streamlining the identification algorithm using the sparse nature of the matrices associated with the computation and by using parallel processing techniques. The controller was tested in real time using a physical model of a power system. The results show that the damping of the power system dynamic oscillations can be improved by using this controller.
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