A reduced order self-tuning controller

Abstract

As industrial users attempt to control systems exhibiting fast dynamic response characteristics, the demand for higher sampling rates and hence rapid controller calculations is becoming more apparent. This problem is compounded when considering the application of self-tuning control to non-linear systems exhibiting such characteristics, where, in order to maintain integrity of the self-tuner, enhanced estimation algorithms with increased computational complexities are required. In this paper a reduced order state-space self-tuning controller is proposed and its performance is compared by simulation studies to that of a standard implicit delay state-space self-tuning scheme. Whilst the same control objectives are achieved in a compatible manner it is shown that the reduced order scheme is significantly less computationally intensive and, as such, reduces the effects of computational delay in the overall closed-loop self-tuning scheme.