著者

大平 峻 島田 明

出版者

一般社団法人 日本機械学会

雑誌

日本機械学会論文集 (ISSN:21879761)

巻号頁・発行日

vol.84, no.862, pp.18-00019, 2018 (Released:2018-06-25)

参考文献数

19

被引用文献数

1

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This study aims to realize fast disturbance estimation with a Kalman filter (KF). This paper presents a methodology of fast estimation and rejection for some types disturbances. This methodology attempts to estimate the state of mechatronics systems that rejected the influences of disturbance and noise by using KF. Most of known disturbance estimation method is the disturbance observer (DOB). However, the conventional DOB can not estimate the disturbance that is contaminated of noises. Generally, KF is known as state estimation algorithm that can consider influences of various noise. In addition, we had done some previous studies to design a linear KF with disturbance estimation. We obtained a fact that the disturbance estimation speed by the KF is slow from these studies results. Therefore, this paper proposes a new design method of KF with disturbance estimation which includes a design parameter to speed up disturbance estimation, where we have never concerned in this paper with KF design method except linear systems. Finally, we show the design method on the proposed method and usefulness via the simulation results relative to the position control for an simple cart system.

著者

大平 峻 島田 明

出版者

一般社団法人 日本機械学会

雑誌

日本機械学会論文集 (ISSN:21879761)

巻号頁・発行日

vol.83, no.856, pp.17-00276-17-00276, 2017 (Released:2017-12-25)

参考文献数

12

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This study proposes a movement control system based on model predictive control (MPC) with state expressed identity disturbance observer (DOB). The proposed controller removes tracking errors of control variables due to disturbance influences. The DOB estimates the motion state as well as the disturbance acted to controlled plant. This paper assumes two types of disturbances acted to control input and to control output. The input disturbance is a steady and the output disturbance is not always steady. The presented MPC system including the DOB is robust and it suppresses disturbances via the special design method. The feasibility of the MPC-based control system is conrmed in the situation under the input and output disturbances. Finally, the proposed method is evaluated via the simulation related to a cart traveling along a straight line.