2013•Unpublished venueRequires access

Design of performance-adaptive PID control system using model predictive approach

Takao Satô, Toru Yamamoto, Nozomu Araki, Yasuo Konishi

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Abstract

The present paper discusses a new design method for a PID control system using 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 automatically selected to attain a user-specified control performance. In the proposed scheme, estimated plant parameters are updated only when the estimation error increases. Therefore, the control system is not updated frequently, The control system is updated only when the control performance is sufficiently improved. Numerical examples demonstrate the effectiveness of the proposed method.

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What this paper is about

The present paper discusses a new design method for a PID control system using 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 automatically selected to attain a user-specified control performance. In the proposed scheme, estimated plant parameters are updated only when the estimation error increases. Therefore, the control system is not updated frequently, The control system is updated only when the control performance is sufficiently improved. Numerical examples demonstrate the effectiveness of the proposed method.

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Available abstract

The present paper discusses a new design method for a PID control system using 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 automatically selected to attain a user-specified control performance. In the proposed scheme, estimated plant parameters are updated only when the estimation error increases. Therefore, the control system is not updated frequently, The control system is updated only when the control performance is sufficiently improved. Numerical examples demonstrate the effectiveness of the proposed method.

Key concepts: PID controller, Model predictive control, Control theory (sociology), Computer science, Control engineering, Control system, Control (management), Scheme (mathematics)

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