VRFT-based predictor design for processes with inverse response

Abstract

BackgroundAmong various approaches specifically developed for processes with inverse response, a predictor design by augmentation of an inverse response predictor in the conventional feedback control system is an attractive method as it reduces the effect of inverse response and facilitates better PID controller performance. However, the existing methods are predominantly model-based methods and the resulting control performance depends on an accurate model which may not be available in practice. MethodsTo alleviate the aforementioned shortcoming, a data-based method for the design of an inverse response predictor and a PID controller is developed under the Virtual-Reference-Feedback-Tuning (VRFT) framework in this paper. Furthermore, a simplified stability criterion is developed to verify the closed-loop stability of the predictor control system. FindingsExamples are used to illustrate the utility of the proposed design and a comparison with model-based benchmarks is made. Simulation results show that the proposed design method gives better control performance compared with the benchmarks.