Predicting Function Model-based Fuzzy Predictive Control Applied Research, Put In Inverted

So far, the advanced control technology strategies mainly including optimization control, predictive control, robust control, fuzzy control, neural network control, expert control and so on, have obtained successfully applications in the industry. Each kinds of control strategies has its special skill respectively and has certain insufficiency in certain aspects. Therefore, each kinds of control strategies are mutually seeping, overlapping and union, and these new compound control strategies are emerging along with the science and technology development. Fuzzy and Predictive Function Control (FPFC) which basing on the theory of fuzzy Control and the theory of Predictive Function Control is one of them. This compound control strategies overcome the insufficiency which single control strategy owns, making up for one's deficiency by learning from others' strong points, having a finer performance, and can even better satisfy the different applications situation's request and obtain much more widespread applications.The fore three chapters of this paper reviewed the development of the predictive function control and the fuzzy control, analyzed the basic principle of predictive function control and fuzzy control, summed up the essential characteristic and particular implement means, and applied the compound Fuzzy Predictive Functional Control basing on the fuzzy controller and fetching in the predictive function mode in the non-balance, non-line, instable system of the inverted pendulum. The results of simulation and locale-control show that the performances of the FPFC algorithm are satisfied.