Adaptive controller for a turbogenerator system

The paper describes the derivation, design and evaluation of a parameter-adaptive integrated controller for a turbogenerator. The control strategy is to minimise the variances between the outputs of the turbogenerator and the outputs of a linear optimal predictor under all operating conditions. The design of the controller is based on an autoregressive moving-average model, and does not require any information about the parameters of the turbogenerator. A nonlinear feedback approach to the control strategy is achieved by a simple recursive algorithm, which can be implemented as an online real-time computer control scheme for a turbogenerator without persistent excitation of inputs. The performance of the adaptive controller depends on the successful design of the optimal predictor, which can be achieved by choosing suitable pole values. Results obtained using a detailed nonlinear simulation of a turbogenerator are presented.