Strong Robustness Control of Multi-modal Based on Human-Simulated Intelligence for Uncertainty System

Abstract

Uncertainty process is the puzzle in the actual control engineering, and aimed at being difficult to actualize the effective control by conventional PID controller, the paper explored a sort of control strategy of strong robustness based on multi-modal control algorithm. In the paper, it made the anatomy of cybernetics characteristic for uncertainty system, pointed out the limitation of application in PID controller, researched on dynamic and static characteristics human simulated intelligent controller, and based on the multi-modal control, constructed the control algorithm of a uncertainty system. Under the strong pulse interference, it took a two-order with time lag process control as an example, made the contrastive experimental simulation respectively by PID and multi-modal control algorithm based on HSIC, and the process response demonstrated that the HSIC control algorithm owned very strong robustness control performance. The result of experimental research shows that it is feasible and reasonable to uncertainty process by proposed multi-modal control algorithm based on HSIC.