Approaches to modelling and optimal control of a micro-alternator system

What is it about?

The paper describes a practical study of the application of optimal control methods to provide integrated control of the exciter and turbine of a laboratory model turbo-alternator system. Recursive least-squares identification techniques are employed to generate linear multivariate state and input/output models of the non-linear system dynamics. Comparative experimental system performance with both state and output feedback controllers, synthesized from corresponding analytical and identified models, is evaluated over a wide range of operating conditions. The results emphasize the effectiveness of integrated optimal controllers in the power system environment, and, in particular, their reduced sensitivity to changes in operating conditions and transmission line impedance compared with conventional control configurations.

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Why is it important?

Practical applications of modelling and optimal control to a real small scale power system.

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