Title: Predictive functional control using state estimator-based internal model for ramp disturbance rejection

Authors: Toshiyuki Satoh; Naoki Saito; Jun-ya Nagase; Norihiko Saga

Addresses: Department of Machine Intelligence and Systems Engineering, Akita Prefectural University, 84-4, Aza-Ebinokuchi, Tsuchiya, Yurihonjo, Akita, 015-0055, Japan ' Department of Machine Intelligence and Systems Engineering, Akita Prefectural University, 84-4, Aza-Ebinokuchi, Tsuchiya, Yurihonjo, Akita, 015-0055, Japan ' Department of Mechanical and Systems Engineering, Ryukoku University, 1-5 Yokotani, Setaoecho, Otsu, Shiga, 520-2194, Japan ' Department of Human System Interaction, Kwansei Gakuin University, 2-1 Gakuen, Sanda, Hyogo, 669-1337, Japan

Abstract: We propose a state estimator-based disturbance suppression technique for predictive functional control (PFC), which puts emphasis on attenuation of ramp disturbances. Augmenting the plant model with a disturbance model, we build a prediction-type estimator for the augmented model, which estimates ramp disturbances as well as the plant states. The state estimator enables us to predict the future output in the presence of ramp disturbances. We also analyse the structure of the proposed PFC system and controller poles and prove that the estimator-based PFC system actually has two integral actions. Finally, several numerical simulation tests are conducted to validate the effectiveness of the proposed method.

Keywords: predictive functional control; PFC; ramp disturbance rejection; state estimator; model predictive control; MPC; state estimation; disturbance suppression; ramp disturbances; modelling; numerical simulation.

DOI: 10.1504/IJAAC.2016.077589

International Journal of Automation and Control, 2016 Vol.10 No.3, pp.267 - 285

Received: 03 Jun 2015
Accepted: 26 Jan 2016

Published online: 06 Jul 2016 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article