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According to Variable rate fertilization control requirements, the amount of fertilizer application was automatically controlled by the fuzzy- PID control algorithm, and the fuzzy-PID progress control system was simulated by Simulink and Fuzzy of MATLAB. Its application in actual device shows that, comparing normal PID control, the method has effectively kept the amount of fertilizer application range,...
Fuzzy-PID control is used in the Variable rate fertilization controlling system and the rule of the fuzzy control is determined. Based on the dynamic model of the Variable rate fertilization controlling system, MATLAB/Simulink is applied to simulate the torque and the rotation speed of the engine. The experimental results indicate that the proposed method is of simple arithmetic and real-time characteristics...
A novel T-S fuzzy control algorithm is presented for active queue management(AQM) in order to solve the problem of congestion control in TCP communication. This kind of control action has robust performance, which is suitable for time varying and complex network systems. For the particular TCP network mode, a T-S fuzzy model is done for the nonlinear TCP/IP network congestion control system. The performance...
Designed a parameter self-tuning PID-controller based on fuzzy control, which can adjust PID-parameters according to error and change-in-error. A simulation study of the system shows that the controller possesses both the precise character of PID controller and the flexible advantage of fuzzy controller. It can eliminate the steady error of the system promptly.
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