Abstract
An adaptive control methodology using multiple identification models is presented. In the proposed method, the real process is identified simultaneously by multiple models with different structure and an adaptive control is carried out based on the optimum model selected by some rules. The selection rules of the suitable model for an operating condition are decided by theoretical and heuristic knowledge about the parameter estimation and adaptive control. This method requires few a priori information about the process and can deal with the abrupt change of the process characteristics. In this paper, first, the principle of the adaptive control system with multiple models is presented. Next, the main parts of the proposd system: model following control loop, recursive identifier with multiple models, model selecting function block and higher level adaptation mechanism are discussed. In order to investigate the effectiveness of the proposed method, computer simulations are carried out for processes with time-varying characteristics. Finally, the proposed method can be successfully applied to the temperature control of an incinerator.
