An Optimized Algorithm for Advanced Vehicle Anti-Lock Braking System

In Anti-lock Braking System (ABS), the traditional method controlled the brake force with logical way and PID, it can not control ABS based on information of road condition, the speed of wheel and the speed of vehicle, it braked with a long distance and was dangerous. So, a optimized algorithm for advanced vehicle Anti-lock Braking System is proposed, gathering information on speed of vehicle, speed of wheel and road condition together to count real-time slip ratio, with Fuzzy Neural Network (FNN),the brake force of four wheels was controlled differently according to the different condition of wheel with slip ratio. The experiment showed that compare with normal algorithm, the stop distance became 20% shorter with this optimized algorithm and the algorithm is very stable.