Implement of Power Assisted Vehicle Based on Fuzzy Neural Networks

A smooth moving control method of the power assisted vehicle (PAV) based on a fuzzy neural networks is presented. The PAV is used to generate power for saving use´s effort, and PAV needs human-guided to recognize the environment, plan the trajectory without danger of collision. According to the human thrust, PAV provides the assisted force by two servomotors lined the wheels. However, if the gain is too high, the speed of PAV will be too fast, user will not be able to maintain contact with the PAV. Conversely, if the gain is designed too low, the power-assisted effect will be negligible at low speed. For the reason, a self-tuning assisted gain based on fuzzy neural networks is presented in this paper. The experimental results demonstrate that the feasibility and the efficiency of proposed system.