Design of ABS Controller On Wavelet Neural Networks
Wavelet neural networks were used to design the best slip-value (SP ) on the base of studying framework and algorithm for the antilock braking system . Five kinds of road surfaces were chosen in order to identify SP . Five kinds of SP were gained. Fuzzy neural networks controller was designed, the output of it could track SP better. Different changes of parameter were embodied in simulation. The system of antilock braking system based on wavelet neural networks and fuzzy neural networks neednt modeling on the object. The new system is more practicable. It will be effective control means after being combined vehicle dynamics.
Yue Zhao Yiqian Tang
Liaoning Institute of Technology Jinzhou,121001,China
国际会议
青岛
英文
2006-07-21（万方平台首次上网日期，不代表论文的发表时间）