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.
Performance-Adaptive Generalized Predictive Control-Based Proportional-Integral-Derivative Control System and Its Application
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received December 13, 2012; final manuscript received June 24, 2014; published online August 8, 2014. Assoc. Editor: Gregory Shaver.
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Sato, T., Yamamoto, T., Araki, N., and Konishi, Y. (August 8, 2014). "Performance-Adaptive Generalized Predictive Control-Based Proportional-Integral-Derivative Control System and Its Application." ASME. J. Dyn. Sys., Meas., Control. November 2014; 136(6): 061003. https://doi.org/10.1115/1.4027923
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