Performance-Adaptive Generalized Predictive Control-Based Proportional-Integral-Derivative Control System and Its Application

Author:

Sato Takao1,Yamamoto Toru2,Araki Nozomu3,Konishi Yasuo4

Affiliation:

1. Associate Professor Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji 671-2280, Japan e-mail:

2. Professor Institute of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan e-mail:

3. Assistant Professor Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji 671-2280, Japan e-mail:

4. Professor Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji 671-2280, Japan e-mail:

Abstract

In the present paper, we discuss a new design method for a proportional-integral-derivative (PID) control system using a model predictive approach. The PID compensator is designed based on generalized predictive control (GPC). The PID parameters are adaptively updated such that the control performance is improved because the design parameters of GPC are selected automatically in order to attain a user-specified control performance. In the proposed scheme, the estimated plant parameters are updated only when the prediction error increases. Therefore, the control system is not updated frequently. The control system is updated only when the control performance is sufficiently improved. The effectiveness of the proposed method is demonstrated numerically. Finally, the proposed method is applied to a weigh feeder, and experimental results are presented.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference32 articles.

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1. Research on Control Strategy for Weighing Process of Ladle Furnace;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

2. A Novel Generalized Predictive Control Strategy With Improved Time Domain Performance;Journal of Dynamic Systems, Measurement, and Control;2022-10-17

3. Data‐driven dual‐rate cascade control and application to pitch angle control of UAV;Asian Journal of Control;2022-04-20

4. Design of a Database-Driven Nonlinear Generalized Predictive Controller;IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society;2021-10-13

5. Design of Optimal PID Control with a Sensitivity Function for Resonance Phenomenon-involved Second-order Plus Dead-time System;Journal of the Franklin Institute;2020-05

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