Humanoid Intelligent Control Algorithm

In this thesis I do some research on the algorithm of Man-imitating Intelligent Control (MIC), which is one of the promising branches of intelligent control. I introduce the MIC algorithm, classis PID regulator and fuzzy logic, also experiment those methods to a 3-order linear system with time-delay in MATLAB, the simulation results do state those methods improve the control behavior.Based on a thorough analysis of PID controller and MIC algorithm, I combine them together to use their advantages to obtain a better control effect in speediness and stability, compared with simple PID controller. Also, by adding the fuzzy logic to MIC algorithm, I do improve the system performance, further adding dynamic, static adjustment algorithm, I get satisfied control effect especially in stability and speediness. Finally, this thesis presents a conclusion on the simulation results, which interpret the necessity and reasonability of combining different control methods.