Research Projects of Liverpool University
15. Nonlinear Control Theory and Applications to Drive Systems
Dr J Wang and Mr L Yang
In general, dynamical systems cannot always be precisely defined because some approximation, imprecision or uncertainty may have been introduced during the modelling procedure. Mathematical models of actual systems always contain uncertain elements, which model the designer's lack of knowledge about parameter values and disturbances. A class of nonlinear uncertain dynamical systems, which is affine in the control input, is considered. To encompass all possible realisation of uncertainty in the systems, differential inclusion is adopted to model this class of uncertain dynamic systems. Deterministic feedback control proposes the use of linear or non-linear feedback control functions, which operate effectively over a specified magnitude range of system parameter variations and disturbances. Applying these deterministic methods, the synthesis of stabilising feedback controls may give rise to controls with 'high' gain in order to address the problem of uncertainty in the system. For all physically realisable realistic systems, however, there is some implicit bound on the gain that is allowable for such stabilising controllers. Therefore, the problem of constructing a stabilising controller, whose gain satisfies a constraint defined in terms of a practical acceptable threshold level, needs to be considered. The objective of the project is to develop a constrained generalised adaptive feedback control strategy for stabilisation of nonlinear uncertain dynamic systems. Applications include power system, electrical drives, and pneumatic actuator control through real-time implementation of the control strategy for a back-up generation system.