Title: Implementation of performance-adaptive PI control on a weigh feeder

Authors: Takao Sato; Shohei Kitano; Toru Yamamoto; Nozomu Araki; Yasuo Konishi

Addresses: Division of Mechanical Systems, Department of Mechanical Engineering, Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo 671-2201, Japan. ' Division of Mechanical Systems, Department of Mechanical Engineering, Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo 671-2201, Japan. ' Graduate School of Engineering, Hiroshima University, 1-4-1, Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan. ' Division of Mechanical Systems, Department of Mechanical Engineering, Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo 671-2201, Japan. ' Division of Mechanical Systems, Department of Mechanical Engineering, Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo 671-2201, Japan

Abstract: In the design of a weigh feeder control system, proportional and integral (PI) control is widely employed because parameter tuning is easy and the control parameter can be intuitively understood. Hence, it is desirable to achieve high control performance using PI control rather than advanced control methods. In this study, the control parameters of the PI control system are designed on the basis of generalised minimum variance control (GMVC), and the weighting parameter for the control deviation is adaptively updated according to the control performance. Because GMVC-based PI control is based on control performance, this method can be easily adopted in industry. Both the simulation and the experimental results demonstrate the effectiveness of the GMVC-based PI control.

Keywords: PI control; weigh feeders; control performance assessment; generalised minimum variance control; GMVC; loss-in-weight; parameter tuning; simulation; adaptive control.

DOI: 10.1504/IJAMECHS.2011.042614

International Journal of Advanced Mechatronic Systems, 2011 Vol.3 No.3, pp.181 - 187

Published online: 18 Mar 2015 *

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