Stochastic adaptive predictive temperature control for PET blow molding machines

This paper presents a stochastic adaptive model reference predictive control (SMRPC) approach to achieving accurate temperature control for a polyethylene-terephthalate (PET) blow molding machine, which is experimentally modeled as a simple second-order system model with given long time delay. Based on this model, the adaptive model reference predictive controller with control weighting is derived based on the minimization of an expected generalized predictive control (GPC) performance criteria. A real-time adaptive SMRPC algorithm is proposed. Computer simulations show that the proposed control method is capable of giving accurate and satisfactory control performance under set-point changes and exogenous disturbances.