Output Prediction Control Strategy for Slow Sampling System Based on Kernel Function Interpolation

Since the period of the slow sampling output channel of a multi-rate system is not synchronised with the period of the input channel, it makis difficult to achieve feedback control. To address such problems, a model predictive control strategy is proposed for slow sampling systems. Firstly, a radial basis function interpolation prediction method is proposed for the output value at non-sampling moments; secondly, a control strategy is proposed to predict the actual output value with the model prediction value and correct the output prediction value by using the actual prediction error information obtained at that output sampling moment, so as to solve the problem that the period of the slow-sampling output channel of the multi-rate system is not synchronised with the period of the input channel. Finally, the above control strategy is implemented in a heavy oil distillation tower system, and the practical effectiveness and wide applicability of the control strategy are comprehensively examined by changing the slow sampling period and the degree of model mismatch.