DocumentCode
2429909
Title
Dual-loop adaptive decoupling control for single wheeled robot: Based on Neural PID controller
Author
Ruan, Xiaogang ; Wang, Qiyuan ; Yu, Naigong
Author_Institution
Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
2349
Lastpage
2354
Abstract
This paper proposes a dual-loop adaptive decoupling control method based on single neuron PID controller (DADC-SNPID), balancing the single wheeled robot. A unique mechanical and control hardware structure of single wheeled robot is designed and its simplified mathematical model is established using the Newton-Euler equations according to the actual parameters of the designed robot. A new balance and motion control method is proposed as dual-loop adaptive decoupling control method based on single neuron PID controller to control the robot. Results of simulation and physical experiments are conducted to illustrate effectiveness of the designed robot system and its controller under certain conditions.
Keywords
Newton method; adaptive control; mobile robots; motion control; three-term control; Newton-Euler equations; balance control method; control hardware structure; dual-loop adaptive decoupling control; mechanical hardware structure; motion control method; simplified mathematical model; single neuron PID controller; single wheeled robot; Mathematical model; Mobile robots; Neurons; Periodic structures; Robot sensing systems; Wheels; Adaptive Control; Neural PID; Self-balancing; Single Wheeled Robot; Unicycle;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-7814-9
Type
conf
DOI
10.1109/ICARCV.2010.5707433
Filename
5707433
Link To Document