Adaptive root‐locus control for siso processes with time delays

Abstract

SUMMARYTwo adaptive root-locus control schemes for processes with time delays have been developed. The control design methodologies are based on classical feedback control and Smith predictor structures with simple pole placement. The overall behaviour of both control systems is adapted along the root loci of the system in each control horizon. Since the Smith predictor structure includes time delay compensation, the tuning gain can be enlarged to improve the performance of the control system. The optimal tuning gain is repeatedly updated by an optimization technique when the estimated model is confirmed. A comparison with simplified model predictive control (SMPC) is also given. SMPC in SISO systems is a special case of the proposed control laws.

A reference guide to Smith predictor based methods for the compensation of dead-time processes

“…Analytical procedures to investigate the robustness of the predictor, operating under process-model mismatch conditions in discrete time, have been developed [152,153]. It is common to estimate the model parameters before designing the primary controller; the delay may be estimated explicitly or the model may be overparameterised, without an explicit estimation of the delay [154][155][156][157][158][159][160][161]. Modifications of the Smith predictor have also been considered [42,[162][163][164][165][166][167][168][169][170][171][172][173][174][175][176][177][178][179].…”