DocumentCode
1964821
Title
The PWM Servo and LQR Control of a Dual-Wheel Upright Self-Balancing Robot
Author
Ruan, Xiaogang ; Zhao, Jianwei
Author_Institution
Dept. of Intell. Robot., Beijing Univ. of Technol., Beijing
fYear
2008
fDate
23-25 May 2008
Firstpage
586
Lastpage
590
Abstract
The servo control system is designed with TMS320F2812 DSP chip as its core. It solves the problem of the generating of PWM signals, motor velocity feedback and direction and the feedback of the motor current in the servo control system. The structure and mathematical modeling of a dual-wheel upright self-balancing robot are studied. The real experiments are done. The right and left wheels are driven separately by two high precision Direct Current (DC) servo motors with photoelectric encoder. Direct current servo control system of Pulse Width Modulation (PWM) is based on the application of pulse width modulation DC-DC converters. Based on the construction of the structure model for the system, the systematic mathematical model is worked out according to the dynamic mechanics theory. The state feedback controller (LQR) with good robustness is designed on Matlab. The stability of the system is proved by simulation results. The human-like robot can realize all kinds of walking control. Validity and rationality of the system modeling and the controller designing are verified through the performance experiments of the prototype.
Keywords
DC motors; DC-DC power convertors; PWM power convertors; humanoid robots; linear quadratic control; mobile robots; servomotors; stability; state feedback; DC servo motors; LQR control; PWM DC-DC converters; PWM servo control system; TMS320F2812 DSP chip; controller design; dual-wheel upright self-balancing robot; human-like robot; motor velocity feedback; pulse width modulation; state feedback controller; system stability; walking control; DC motors; Feedback; Legged locomotion; Mathematical model; Pulse width modulation; Pulse width modulation converters; Robots; Servomechanisms; Servomotors; Servosystems;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location
Moscow
Print_ISBN
978-0-7695-3151-9
Type
conf
DOI
10.1109/ISIP.2008.151
Filename
4554155
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