Title :
Research on Control Method of Two-wheeled Self-balancing Robot
Author :
Junfeng, Wu ; Wanying, Zhang
Author_Institution :
Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
Based on Newton dynamics mechanics theory make a study of two-wheeled self-balancing robot, a detailed mathematical model of the modeling process is provided, and then, using the reasonable method, a linear state-space equations is built up. After that, the LQR controller and state-feedback controller based on pole placement theory are both designed. After a number of simulation experiments, we get the best closed-loop poles and Q, R matrix, both of which have good simulation curves at the same disturbance force. The results of experiments prove that both of them have good dynamic performance and robustness, which also prove the system modeling and controller design are reasonable and effective via these methods. The curves from LQR controller have a better dynamic performance compare with pole placement state-feedback controller.
Keywords :
closed loop systems; control system synthesis; linear quadratic control; matrix algebra; mobile robots; robot dynamics; robust control; state feedback; state-space methods; LQR controller; Newton dynamics mechanics theory; Q matrix; R matrix; closed loop pole; disturbance force; linear state space equation; mathematical model; modeling process; pole placement state feedback controller; pole placement theory; simulation curve; system controller design; system modeling; two wheeled selfbalancing robot; Control theory; Equations; Mathematical model; Mobile robots; Robot sensing systems; Wheels; Control Theory; LQR; Pole Placement; Two-wheeled Self-balancing Robot;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.132