Control System Computer Aided Design Information Fusion Method

The Computer Aided Control System Design of English abbreviation is CACSD; ituse the computer as a tool to design control systems, in the process of using computer todesign control systems, software simulation is the main technical.Since the1970’s, multisensor information fusion is a new edge subject to contentthe urgent need of military aspects. According to certain optimal criteria multisensorinformation fusion is fusion the information from each sensor, then get the optimalestimation. Information fusion filtering theory is an important branch of the multisensoeinformation fusion, now the mainly focuses on the study of multisensor informationfusion is the Kalman filter, Kalman filter information fusion theory continues to beexhumed, but still incomplete, large numbers of subjects for researchers to conductin-depth research.Software engineering use application engineering methods to develop software, itis mainly used to develop and maintain an effective, practical, high-quality software. Inthis paper, use the relative method of software engineering to design the softwear ofcomputer aided control system design.The paper use the Swing components of Javalanguage to design and compilation the graphical interface of the visualization software.Using the Matlab Builder For JA component to make the Matlab program to create aclass for Java, and implant the class into the graphical interface software. First pack thesoftware programe, second Use the exe4j Software to produced the software package toan executable file, application on different platforms.Run the software compiler,the software can create the relative components of basisoperatiom, visualization, drawing such as in the Matlab. It also construct simulationsystems for simulation and observat the simulation results.Then analyze the informationfusion of the control system model, achieve on-line identification of information fusion.Make computer interaction more convenient and more direct. Matlab programcan be applied to the system prepared by the feedback control, PID control, optimalcontrol, robust performance control in the field of intelligent control.