NDLI: Closed-loop Data-driven Trade-off PID Control Design

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Closed-loop Data-driven Trade-off PID Control Design

Content Provider	Semantic Scholar
Author	Kurokawa, Ryo Sato, Takao Vilanova, Ramon Konishi, Yasuo
Copyright Year	2018
Abstract	The present study proposes a new approach to a data-driven PID control design method based on one-shot closed-loop input and output data. Even if the proposed controller is designed using only one-shot data, both the prescribed robust stability and tracking performance optimization are attained. The proposed control law is designed by solving a constrained optimization problem, in which the robust stability as a constraint condition is designed by a sensitivity function estimated using the discrete-time Fourier transform, and the performance function defined using a fictitious reference is minimized. As a result, the proposed method provides trade-off design between the tracking performance and robust stability, where the robust stability is arbitrarily selected depending on the plant perturbation. The effectiveness of the proposed method is demonstrated through numerical examples.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://folk.ntnu.no/skoge/prost/proceedings/PID-2018/0040.PDF
Language	English
Access Restriction	Open
Subject Keyword	Constrained optimization Constraint (mathematics) Constraint algorithm Control system Controllers Convex optimization Discrete-time Fourier transform Hiroshi Ishii (computer scientist) Initial condition Input/output Mathematical optimization Numerical analysis Numerical method Optimal control Optimization problem PID Reduction (complexity) Robustness (computer science) Servo
Content Type	Text
Resource Type	Article

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