The paper proposes controlling the adjustable speed motors to realize the control of material position with fuzzy control law, and the constant temperature in the regulator pool (a motor vapor valve which is driven by the adjustable speed motor) sith PID law.

The controller can learn the fuzzy rules and can adjust the fuzzy rules with the change of system automatically.

Combining rough set theory with fuzzy logic technology, this paper has presented a method of gaining fuzzy control rules based on measured data.

The expression of fuzzy logic system is combined with the list of fuzzy control rules in this paper.

The paper used COA successfully optimizing the fuzzy control rules parameters for a complex system with nonlinear and time variation.

A solution of non-compatibility problem in generation process of fuzzy control rule;

Method of simplifying fuzzy control rules based on separated variables;

Method of Optimizing Fuzzy Control Rules Based on Compatibility of Fuzzy Subsets;