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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nguyen Gia Minh Thao Duong Hoai Nghia Nguyen Huu Phuc |
| Copyright Year | 2010 |
| Description | Author affiliation: Faculty of Electrical and Electronics Engineering, HoChiMinh city University of Technology (HCMUT), VietNam (Nguyen Gia Minh Thao; Duong Hoai Nghia; Nguyen Huu Phuc) |
| Abstract | This paper presents a method to design and control a two-wheeled self-balancing robot and it focus on hardware description, signal processing, discrete Kalman filter algorithm, system modelling and PID backstepping controller design. In the system, signals from angle sensors are filtered by a discrete Kalman filter before being fed to the PID backstepping controller. The objectives of the proposed controller are to stabilize the robot while try to keep the motion of robot to track a reference signal. The proposed PID backstepping controller has three control loops, in which the first loop uses a backstepping controller to maintain the robot at equilibrium, the second loop uses a PD controller to control the position of robot and the last uses a PI controller to control the motion direction. Simulations and experimental results show that the proposed control system has good performances in terms of quick response, good balance, stability . |
| Starting Page | 76 |
| Ending Page | 81 |
| File Size | 4515846 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424490387 |
| DOI | 10.1109/IFOST.2010.5668001 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-13 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Radio frequency Backstepping control Two wheeled self-balancing robot Tuners Discrete Kalman filter Embedded system Hardware PID control Robots |
| Content Type | Text |
| Resource Type | Article |
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