The Fuzzy Neural Network Control of Hoist Constant Deceleration Braking System Based on Genetic Algorithm

The constant deceleration braking of the conventional hoist is a fuzzy control system with low accuracy and big overshoots. The fuzzy neural network is used to optimize the hoist constant deceleration braking system, and the design scheme is developed. The artificial neural network structure and parameters are trained with the fuzzy control rules. The membership functions of the fuzzy control rules are determined by using the neural network´s self-learning and adaptive ability. The genetic algorithm is adopted to train the controller´s connecting weights. The global optimum of the network´s parameters can be achieved. Matlab simulation results indicate that the hoist´s braking control system with fuzzy neural network is more dynamic, robust, and highly precise.