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A Fuzzy-PID Controller for the compensation of the Direct-axis current component in the flux-weakening control system of the Permanent Magnet Synchronous Motor (PMSM) is proposed in this paper. The output torque of PMSM falls down when it operates in the high-speed as the reason of its parameters variation. In order to minimize the influences from the armature reaction, the quadrature-axis current...
Considering the characteristics of the time-delay, inertia and time-varying of the dissolved oxygen (DO) control in the sewage disposal process, a Fuzzy Smith-PID control model is proposed based on the analysis of the regular PID and Fuzzy control in this paper, which integrates the advantages of the high robustness of the Fuzzy controller, the compensation of the time delay problem of Smith Estimation...
Air supply is very important in coal mine, but it is difficult to maintain proper air pressure for reason of non-linear and large time-delay of air supplying system. A hybrid controller combined Fuzzy-PID and Smith predictive model is proposed after careful analysis, the controller can compensate large delay time and change the big delay time into small one, can adjust PID parameters online by Fuzzy...
This paper proposes the analysis and design of robust fuzzy control. From the parallel distributed compensation (PDC) strategy, a mathematical formulation is defined in the frequency domain, based on the gain and phase margins specifications, to obtain robust PID sub-controllers in accordance to the Takagi-Sugeno fuzzy model of the plant. Results for the robust stability conditions with the proposal...
The unified power quality conditioner (UPQC) has the function of voltage-current compensation devices. To enhance its comprehensive compensation effect, this paper combines the traditional PID regulator and fuzzy control theory and designs a fuzzy-PID controller to apply in UPQC DC-link capacitor voltage control links and tracking control link of the compensation. The method synthetizes the strong...
While classical PID controllers are sensitive to variations in the system parameters, fuzzy controllers do not need precise information about the system variables in order to be effective. However, PID controllers are better able to control and minimize the steady state error of the system. Hybridization of these two controller structures comes to one mind immediately to exploit the beneficial sides...
The conventional PID controller for servo system can hardly restrain torque disturbance caused by friction and load efficiently, and it has slow respond speed. This paper introduces a compound control method for servo system based on fuzzy CMAC neural network. FCMAC neural network introduce membership function and activation intensity of memory cells, which makes the description ability of network...
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