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Design of a memory‐based prefilter supplementing a robust PID control system
Authors:Kenji Takao  Toru Yamamoto  Takao Hinamoto
Affiliation:1. Department of Artificial Complex Systems Engineering, Graduate School of Engineering, Hiroshima University, 1‐4‐1 Kagamiyama, Higashi‐Hiroshima, Hiroshima, 739‐8527, Japan;2. Department of Technology & Information Education, Graduate School of Education, Hiroshima University, 1‐1‐1 Kagamiyama, Higashi‐Hiroshima, Hiroshima, 739‐8524, Japan
Abstract:For systems with uncertainties, lots of PID parameter tuning methods have been proposed from the view point of the robust stability theory. However, the control performance becomes conservative using robust PID controllers. In this paper, a new two‐degree‐of‐freedom (2DOF) controller, which can improve the tracking properties, is proposed for nonlinear systems. According to the proposed method, the prefilter is designed as the PD compensator whose control parameters are tuned by the idea of a memory‐based modeling (MBM) method. Since the MBM method is a type of local modeling methods for nonlinear systems, PD parameters can be tuned adequately in an online manner corresponding to nonlinear properties. Finally, the effectiveness of the newly proposed control scheme is numerically evaluated on a simulation example. Copyright © 2008 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society
Keywords:Two‐degree‐of‐freedom control  PID control  robust control  nonlinear systems  process control  memory‐based modeling
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