Journal of Robotics and Mechatronics
Online ISSN : 1883-8049
Print ISSN : 0915-3942
ISSN-L : 0915-3942
Special Issue on New Development in Adaptive & Learning Control
Design and Experimental Evaluation of a Performance-Driven PID Controller
Toru YamamotoTakuya KinoshitaYoshihiro OhnishiSirish L. Shah
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ジャーナル オープンアクセス

2016 年 28 巻 5 号 p. 616-624

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This study proposes a performance-driven control method that performs a “control performance assessment” and a “control system design” from a set of closed-loop data. The method assesses control performance based on the minimum variance control law from closed-loop data. It also calculates a control parameter that improves the control performance from the same closed-loop data by using the fictitious reference iterative tuning (FRIT) method. This method is characterized by not requiring any system model. The effectiveness of this method is verified through a numerical simulation and an application result to a temperature control unit.

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