The Design of Intelligent Washing Machine Controller Based on FPGA

This paper discusses a intelligent washing machine controller based on FPGA parallel processing technology combined with fuzzy and neural network and genetic algorithm. Using the top-down block design principle, we put forward a kind of design that suitable for implementation of the intelligent washing machine controller. The controller is composed by fuzzy controller, neural network learning system and genetic algorithm optimizing system, The neural network learning system provide the initial data to fuzzy controller, and the neural network learning parameters are optimized by he genetic algorithms. On one hand, it can improve the accuracy of the control system, on the other hand, it can speed up the response of the control system, make bright contrast in the learning time formed between it and the traditional FNN, can effectively improve the learning efficiency. The simulation results show that the system has a shorter learning time.