システム制御情報学会論文誌
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
学習制御方式を用いたモデル規範形適応制御系の一構成法
大場 和久呉竹 俊昭井上 和夫
著者情報
ジャーナル フリー

1991 年 4 巻 10 号 p. 393-398

詳細
抄録

Model reference adaptive control system (MRACS) theory is an effective method for dealing with unknown systems. When an MRACS is constituted, current parameters and the state variables of the unknown plant are usually estimated to adjust control parameters. But there are some problems when they are estimated.
This paper presents a design method of an MRACS by an approximately inverse functional compensator. The system is constructed from a viewpoint of a learning control method and is, based on an exact model matching (EMM) technique. The system designed by the proposed method can decrease the control error between the output of the plant and the reference model without estimation of the parameters and the state variables. The, learning control method is used for the plant which can be controlled repeatedly. In the frequency zone of signals passing through the plant and the reference model, the approximately inverse functional compensator has inverse properties of the reference model.

著者関連情報
© システム制御情報学会
次の記事
feedback
Top