T-S Adaptive Neural Network Fuzzy Control Applied in Two-wheeled Self-balancing Robot
This paper regarded Two-wheeled selfbalancing robot of Googol Technology Limited as the object of study, corresponding built an exact mathetnatic model and got system state space equation and its decouple after linearization the model with reasonable methods. At the end, T-S Adaptive neural network fuzzy controller was designed and simulated to obtain the ideal simulation curve. The results show that this adaptive neural network fuzzy controller achieved the desired good results with good dynamic performance and stability.
two-wheeled self-balancing robot adaptive neural network fuzzy control robot modeling
Junfeng Wu Shengwei Jia
College of Automation Harbin University of Science & Technology Harbin,China
国际会议
The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)
哈尔滨
英文
1023-1026
2011-08-22（万方平台首次上网日期，不代表论文的发表时间）