A new paradigm for predictive functional control to enable more consistent tuning

• Main Authors: Rossiter, John Anthony, Abdullah, Muhammad
• Format: Conference or Workshop Item
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2019
• Subjects: TJ212 Control engineering
• Online Access: http://irep.iium.edu.my/75840/1/75840_A%20new%20paradigm%20for%20Predictive%20Functional%20Control_new.pdf; http://irep.iium.edu.my/75840/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8814453

This paper presents two significant contributions to the understanding of Predictive Functional Control (PFC). First, it gives novel insights and explanations into a poorly understood issue, that is the weak link between PFC tuning parameters and the resulting closed-loop behaviour. This new understanding is then exploited to proposed a modification to the existing PFC algorithm which creates a much stronger tuning link while retaining the critical properties of elementary coding and understanding. The efficacy of the proposal is demonstrated on several numerical examples.