Water treating control system based on predictive control theory of multi-model switching algorithm

Aiming at the present water factory control system, this paper analyses some influence factors affecting alum quantity of water treated control system, and discusses the design method of adding alum control system. An automatic control policy of adding alum control system is proposed, which is based on multi-model switching predictive control algorithm. Using performance measures derived from the resultant prediction errors, a decision rule is to be designed to select a sub-model at each sampling time. System simulation results show that the control algorithm track target value better than general control.