On the Design of Incremental Predictive Functional Control Algorithm

To improve the predictive functional control (PFC) algorithm, this paper presents an incremental PFC algorithm designed through the combination of incremental control and PFC, and hence it has the advantages of both approaches. The Internal Model Control (IMC) framework is presented from the control law and is used to analyse and evaluate the performance of the controller design and closed-loop system. The proposed algorithm could effectively guarantee rapid unbiased-tracking with enhanced system robustness. The suggested algorithm has been assessed through a set of numerical experiments with a focus on the impact of the number of basis functions in the control law on the system performance and the simulation result proves the effectiveness of the algorithm.