Research And Application Of Computational Verb PID Controller Of Linear Motor

With the development of industry, the control object is getting more complex. The exiting control performance assessment criteria cannot meet the demand. In order to solve the problem, an overseas Chinese scholar Tao Yang constructed the theory of "computational verb theory" in 1997. He initiated and developed the new concept of "computational verb" in a series of his works. The computational verb theory can model the dynamic parts of human thoughts by using evolving functions. In contrast, characteristic functions illustrate ordinary sets, membership functions illustrate quantitatively fuzzy sets. Computational verb systems are methods for developing a new systematic framework of artificial intelligence by embedding the knowledge and experiences that human experts expressed or implied with verbs into machine intelligence.Linear motor is one of the studied new motor. Because of its peculiarity, the linear motor performed better than rotary motor in the control systems when the moving route is linear. Its application range extends widely and widely. And it has been applied in many fields.In this paper, a detailed method of designing verb PID controllers by generalizing fuzzy PID controllers are presented .The static and local fuzzy rules are transformed into dynamic and global verb rules by representing fuzzy rule sets on phase plots .The control trajectories are chunked into a set of computational verbs based on the dynamic experiences generated by the relations among a group of fuzzy control rules. Using these computational verbs, three sets of control rules, respectively for P-, I- and D-components, based on computational verbs (verb rules for short) are generated from the dynamic experiences modelled by using mental experiments.