Model predictive control with dead-time compensation applied to a gas compression system

Tuning of Model Predictive Controllers Based on Hybrid Optimization

“…To demonstrate this, Figures 13-16 show the dynamic behavior of the two cases, further increasing the modeling error for 1 = 2 = 3 = 1, using a robust version of the GPC control. This robust version can be achieved by using a T filter in the controlled auto-regressive integrated moving average model or using a low-pass filter in the optimal predictor stage, known as DTC-GPC [33,34]. For this case, DTC-GPC is implemented with a discrete second-order low-pass filter, as shown in Equation (10), using α = 0.85 for case 1 and α = 0.5 for case 2: The implementation of a robust control method allows the stabilization of both cases, even with a greater modelling error.…”