서지주요정보
멀티 레이트 시스템을 위한 적응 일반화된 예측 제어 = Adaptive generalized predictive control for multirate system
서명 / 저자 멀티 레이트 시스템을 위한 적응 일반화된 예측 제어 = Adaptive generalized predictive control for multirate system / 박인오.
저자명 박인오 ; Park, In-Oh
발행사항 [대전 : 한국과학기술원, 1994].
Online Access 제한공개(로그인 후 원문보기 가능)원문

소장정보

등록번호

8004234

소장위치/청구기호

학술문화관(문화관) 보존서고

DPE 94009

휴대폰 전송

도서상태

이용가능

대출가능

반납예정일

초록정보

The purpose of this study is to drive the adaptive multirate GPC for multivariable systems in a stochastic framework. Modeling disturbances as white noise is inadequate for process control because most disturbances encountered in process control are colored or non-stationary in nature. For that reason we first propose stochastic parallel model identification algorithm for multirate sampled system. No attempt is made in it to identify the noise model. Hence the algorithm is applicable to any measurement noise case. The measurement noise can be arbitrary(for example, colored or non-stationary noise), except for the assumption that it and control inputs are stochastically uncorrelated. Projected stochastic gradient algorithm and least squares algorithm are proposed. A estimation is at least bounded by proportional to the parameter estimation and it approached zero if the parameter estimation error approached zero. We extend the GPC to multirate systems by calculating an estimate for the output at intersampling instants. The technique utilizes intersampling control inputs and available model parameters to generate the intersampling output estimates. When stochastic parallel model is used, the estimates of outputs can be easily generates at input(fast) sampling instants without affecting the properties of the parameter estimates. This is in contrast to estimation based on ARMAX model where the unbiasedness of the parameter estimates of the dynamical part of the system crucially depends on the identification of the noise model and estimates and/or predicted values of the output are affected the parameter estimates at intersampling instants. Deadtime is implicitly handled in the formulation. In order to demonstrate the effectiveness of the proposed control algorithm simulation study is carried out. The closed-loop performance are excellent. Both outputs track changes in the reference signals very well despite of the presence of the measurement noise. These simulation results show that the proposed control scheme makes the performance of the multirate control system approach that of the single rate(fast rate) control system.

서지기타정보

서지기타정보
청구기호 {DPE 94009
형태사항 vii, 85 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : In-Oh Park
지도교수의 한글표기 : 오준호
지도교수의 영문표기 : Jun-Ho Oh
학위논문 학위논문(박사) - 한국과학기술원 : 정밀공학과,
서지주기 참고문헌 : p. 80-85
주제 Adaptive control systems.
Multivariate analysis.
Parameter estimation.
Stochastic analysis.
적응 제어. --과학기술용어시소러스
예측 제어. --과학기술용어시소러스
파라미터 추정. --과학기술용어시소러스
다변수 시스템. --과학기술용어시소러스
Predictive control.
QR CODE qr code