The Application Of Genetic Algorithm And Fuzzy Control Theory In Control System Of Wood Optimization Cut

This paper analyzed and discussed the relative status of the automatization region of wood machining, and applied the genetic algorithm and the fuzzy control theory, which belong to human intelligent, into the computer control process of wood cut system in order to improve the development of wood machining automatization.According to the matter of wood cut optimization, the paper adopted the genetic algorithm imitating the biology evolution to code some optimization scheme initialized by chance, improved these schemes by selection, crossover and mutation operation. At last these schemes converged to the best. For the connection of the amount of the wood to be cut and the velocity of feeding, the paper put forward a fuzzy control method that can increase the production efficiency and designed it.Based on the practicality produce environment, this paper designed the hardware compose of wood optimization cut control system. On Windows 98, designed the software of intelligent control system by Visual Basic 6.0. Experiments indicate that this intelligent control system designed in the paper can achieve wood cut optimization assembled and fuzzy intelligent control fleetly and effectively.