Two Stage Control based on an Optimal Control with a Disturbance Observer and a Kalman Filter

被引：0

作者：

Ogawa, Hiromitsu ^{[1
]}

Ban, Naohiro ^{[1
]}

Ono, Manato ^{[1
]}

Ishida, Yoshihisa ^{[1
]}

机构：

[1] Meiji Univ, Dept Elect & Bioinformat, Kawasaki, Kanagawa, Japan

来源：

2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 2 | 2010年

关键词：

Two stage conrol; Optimal control; Disturbance observer; Kalman filter;

D O I：

10.1109/ICCAE.2010.5451513

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes a two stage control system based on an optimal control scheme with a disturbance observer and a kalman filter. It is combined a speed control system and a position control system, which are designed by an optimal control respectively. The system controls the speed before a changeover point, and it controls the position after the changeover point. The controlled plant input that has to be adjusted by adding the appropriate value is proposed. It is operative to change the system continuously. The system is also designed by optimal control scheme so that it has the good robustness during a speed control. After the position control it controls the position from the changeover point to the set-point, so that the overshoot is irrespective of the set-point.

引用

页码：303 / 306

页数：4

共 50 条

[31] Robust composite control design of drag-free satellite with Kalman filter-based extended state observer for disturbance reduction [J].

Ma, Haojun ;

Zheng, Jianhua ;

Han, Peng ;

Gao, Dong .

ADVANCES IN SPACE RESEARCH, 2022, 70 (10) :3034-3050

[32] Active disturbance rejection control of permanent magnet synchronous motor based on Kalman filter [J].

Xie, Xiaojun ;

Zhang, Haiyan .

PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ARTIFICIAL INTELLIGENCE, PEAI 2024, 2024, :929-933

[33] Electric Vehicle Stability Control Based on Disturbance Accommodating Kalman Filter Using GPS [J].

Binh Minh Nguyen ;

Wang, Yafei ;

Fujimoto, Hiroshi ;

Hori, Yoichi .

2013 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS (ICM), 2013,

[34] Improved Active Disturbance Rejection Control Based on Kalman Filter for Fast Steering Mirrors [J].

Chengxin, Zhang ;

Chongshang, Sun ;

Jiabin, Wu ;

Jianqiang, Zhang ;

Zhibin, Li .

Zhongguo Jiguang/Chinese Journal of Lasers, 2024, 51 (13)

[35] Chaos Control in AFM via Disturbance Observer based Control [J].

Wei Wei ;

Guo Lei .

PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, :869-872

[36] H∞ control versus disturbance-observer-based control [J].

Mita, T ;

Hirata, M ;

Murata, K ;

Zhang, H .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1998, 45 (03) :488-495

[37] An enhanced bandwidth disturbance observer based control- S-filter approach [J].

Efe, Mehmet Onder ;

Kasnakoglu, Cosku .

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2021, 29 (04) :2170-2185

[38] Implementation of Nonlinear Optimal Control of Two-wheel Robot with Extended Kalman Filter [J].

Kokkrathoke, Surapong ;

Xu, Xu .

2021 IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL & INTELLIGENT SYSTEMS, I2CACIS, 2021, :19-25

[39] Quadrotor Robot Based on Disturbance Observer Control [J].

Jingjit, Prawin ;

Mitsantisuk, Chowarit ;

Rungrangpitayagon, Jantanee ;

Teerakawanich, Nithiphat .

TENCON 2014 - 2014 IEEE REGION 10 CONFERENCE, 2014,

[40] Tracking Control of IPMSM based on Disturbance Observer [J].

Jeon Y. ;

Lee S. .

IEIE Transactions on Smart Processing and Computing, 2023, 12 (06) :535-540

← 1 2 3 4 5 →