Genetic Algorithm-based Intelligent Adaptive Control System

With the development of science and technology, the controlled systems have became more and more complicated, but the requirement of effect to controlled systems have increased. Thus there are some conflicts between the complexity and accuracy. Intelligent adaptive control is an effective method to resolve this problem. Genetic algorithms is a kind of adaptive optimize means, so it can be regarded as an effective intelligent way for its merit in optimize of parameters.This paper anlaysed the principle of Genetic algorithms the essence of three operators and the reason of local best firstly. In the second charper, two reformed metheds has presented, which are Competition adaptation-GA based on elitist and Dual mutation adaptive-GA which can increase the population diversity and can decrease the dependence of genetic algorithms' result to the control parameter of operators and the status of initial population.To testify their abilities of Algorithms, some studies have excuted which included the study to optimize parameter for PID and the study to multivariable intelligent decoupling control for MIMO system. The outcomes have showed us that this amendment has a better effective than conventional means and the Genetic algorithms which have no change. In the three chapter, we combined the Genetic Algorithms, Fuzzy logical control and Pattern recongnition and applied it to PID controller. This methods that combined some intelligent ways will become an important direction in the study of intelligent control.