Unmanned hybrid electric vehicles FNN control based on self-organized learning algorithm and supervised learning algorithm

To resolve unmanned hybrid electric vehicles control problems, the fuzzy neural network control method based on self-organized learning algorithm and supervised learning algorithm is proposed in this paper. This algorithm can learn proper fuzzy logic rules and optimal memberships functions from training examples. Using this control method,,we can control an unmanned hybrid electric vehicle by learning the driving technique of a skilled drive. By combining both unsupervised self-organized and supervised learning algorithm,the learning speed converges much faster than the original backpropagation learning algorithm. Simulation results are presented to illustrate the performance and applicability of the proposed learning algorithm.