olzwap.blogg.se

Navigate to Control Design & Simulation✼ontrol Design»Time Response and drag the CD Step Response VI onto the block diagram.On the block diagram, wire the Damping Ratio and the Natural Frequency slides to the Damping Ratio and Natural Frequency inputs respectively of the CD Construct Special TF VI.Change the maximum number for the Natural Frequency slide to 5. On the front panel, click on the maximum number for the Damping Ratio slide and change it to 1.Follow the same procedure to create another slide and make its name Natural Frequency. While the name of the slide is highlighted, change it to Damping Ratio. Navigate to Modern»Numeric»Horizontal Pointer Slide and drag a Horizontal Pointer Slide onto the front panel. On the front panel, right-click to display the Controls palette.The second order model can be used to describe a mass-spring-damper system or an RLC circuit. Left-click on the polymorphic VI selector of the CD Construct Special TF Model VI in the block diagram and select 2nd Order Model. Right-click on the block diagram and navigate to Control Design & Simulation✼ontrol Design»Model Construction and drag the CD Construct Special TF Model VI onto the block diagram.The results show that the proposed FUZZY-PID controller has better disturbance rejection than conventional PID controlling tuning methods.Control System Analysis With Graphical LabVIEW The entire system is modelled and simulated by using MATLAB/Simulink software. The distinctiveness with this controller is It generates PID gains for various disturbance occurrences in the system based on either disturbance or error. Hence this paper employs a fuzzy logic control strategy for designing of PID controller for better disturbance rejection. It is to be found that these techniques are not withstood for disturbance occurrences. Initially we design this system with these methods for different values of disturbances. The common methods for designing PID controllers are based on fixed algorithms.

We assume a General Aviation Aircraft as an illustration of Longitudinal Autopilot. This paper explains the attitude controlling of a Longitudinal Autopilot.