애스크로AIPublic Preview
← 학술논문 검색
학술논문Korean Journal of Chemical Engineering2023.06 발행

New non-interactive form of the proportional-integral-derivative-acceleration (PIDA) controller and its explicit tuning rule

New non-interactive form of the proportional-integral-derivative-acceleration (PIDA) controller and its explicit tuning rule

허재필(Kyungpook National University); 임상훈(경북대학교); 임창규(경북대학교); 유경환(국립순천대학교); 성수환(경북대학교)

40권 6호, 1277~1283쪽

초록

The physical meaning of the derivative and the acceleration term of the proportional-integral-derivative-acceleration (PIDA) controller was analyzed, and a new non-interactive form of the PIDA controller is proposed. Also, a new tuning rule for the PIDA controller was developed by combining the physical meaning of the two derivative terms with the previous integral of the time-weighted absolute value of the error (ITAE) tuning rule for the PID controller. The proposed tuning rule, composed of simple explicit algebraic equations, provides excellent performance for various processes without using any optimization methods and iterative computation.

Abstract

The physical meaning of the derivative and the acceleration term of the proportional-integral-derivative-acceleration (PIDA) controller was analyzed, and a new non-interactive form of the PIDA controller is proposed. Also, a new tuning rule for the PIDA controller was developed by combining the physical meaning of the two derivative terms with the previous integral of the time-weighted absolute value of the error (ITAE) tuning rule for the PID controller. The proposed tuning rule, composed of simple explicit algebraic equations, provides excellent performance for various processes without using any optimization methods and iterative computation.

발행기관:
한국화학공학회
DOI:
http://dx.doi.org/10.1007/s11814-022-1356-0
분류:
화학공학

AI 법률 상담

이 논문의 주제에 대해 더 알고 싶으신가요?

460만+ 법률 자료에서 관련 판례·법령·해석례를 찾아 답변합니다

AI 상담 시작
New non-interactive form of the proportional-integral-derivative-acceleration (PIDA) controller and its explicit tuning rule | Korean Journal of Chemical Engineering 2023 | AskLaw | 애스크로 AI