This paper presents the formulation of novel implementation method based on parameter varying PD controller for fuzzy servo controllers. This formulation uses the approximation of fuzzy nonlinear function including er...This paper presents the formulation of novel implementation method based on parameter varying PD controller for fuzzy servo controllers. This formulation uses the approximation of fuzzy nonlinear function including error and error derivation in operation point. Obtained fuzzy control law has been employed to control angular position of servo using digital control technique applied to a typical microcontroller like AVR. The performance and robustness of modified fuzzy controller in comparison with PID controller evaluated in no load, applied external disturbance with different magnitude conditions has been studied. The simulation results showed that the proposed fuzzy controller has a considerable advantage in rise time, settling time and overshoot respect to PID controller when the servo system encounters with nonlinear features like saturation and friction.展开更多
With the MSP430 MCU as the core of control, the monitor combines the transfusion sensor, the electric apparatus, the LCDscreen and the keyboard to realize automatic monitor for transfusion process. Because transfusion...With the MSP430 MCU as the core of control, the monitor combines the transfusion sensor, the electric apparatus, the LCDscreen and the keyboard to realize automatic monitor for transfusion process. Because transfusion system is nonlinear and complex,which changes now and then and lags behind hour, conventional control method can hardly obtain benign real time monitor effect.This article introduced a control method according to fuzzy neural network, which integrates the excellences of fuzzy logical controland neural network. The method uses neural network to remember fuzzy rule and achieve fuzzy control and uses error back propaga-tion to realize online self- learning when the control object parameter has changed. So it can colligate, analysis and dispose dataquickly and exactly to achieve intelligent control. Through examination, this monitor manages accurately, runs credibility, and itssmall bulk, low cost and convenient manipulation makes it worth popularizing and applying.展开更多
文摘This paper presents the formulation of novel implementation method based on parameter varying PD controller for fuzzy servo controllers. This formulation uses the approximation of fuzzy nonlinear function including error and error derivation in operation point. Obtained fuzzy control law has been employed to control angular position of servo using digital control technique applied to a typical microcontroller like AVR. The performance and robustness of modified fuzzy controller in comparison with PID controller evaluated in no load, applied external disturbance with different magnitude conditions has been studied. The simulation results showed that the proposed fuzzy controller has a considerable advantage in rise time, settling time and overshoot respect to PID controller when the servo system encounters with nonlinear features like saturation and friction.
文摘With the MSP430 MCU as the core of control, the monitor combines the transfusion sensor, the electric apparatus, the LCDscreen and the keyboard to realize automatic monitor for transfusion process. Because transfusion system is nonlinear and complex,which changes now and then and lags behind hour, conventional control method can hardly obtain benign real time monitor effect.This article introduced a control method according to fuzzy neural network, which integrates the excellences of fuzzy logical controland neural network. The method uses neural network to remember fuzzy rule and achieve fuzzy control and uses error back propaga-tion to realize online self- learning when the control object parameter has changed. So it can colligate, analysis and dispose dataquickly and exactly to achieve intelligent control. Through examination, this monitor manages accurately, runs credibility, and itssmall bulk, low cost and convenient manipulation makes it worth popularizing and applying.
