Real-Time Fuzzy Control of a Sensorless PM Drive System (original) (raw)
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Sensorless PM Motor with Multi Degree of Freedom Fuzzy Control
This paper introduces application of multi degree of freedom fuzzy (MDOFF) controller in permanent magnet (PM) drive system. The drive system model is developed for FO control. Simulation of the system is carried out to predict the performance at NL and under load,. The results indicate that application of MDOFF controller is effective for sensorless PM drive system. Keywords—Sensorless FO controller, PM drives system, MDOFF controller.
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In this paper, a sensorless Direct Torque control (DTC) for Permanent Magnet Synchronous Motor (PMSM) drive based on Adaptive Model Reference (MRAS) algorithm and PI with adapted gains fuzzy logic (FL) are presented. The MRAS is utilized to estimate speed and stator resistance and compensate the effects of parameter variation on (stator resistance variation introduce errors flux and torque estimation and affect the performance of DTC). In other hand, speed regulation by PI with two adaptive FLC is investigated and compared with classical PI controller. Simulation results are presented and show the effectiveness of the proposed method.
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Implementation of Fuzzy Logic controller for permanent magnet brushless DC motor drives
2010
This paper presents the analysis of Fuzzy Logic controller for permanent magnet brushless DC motor drive. The brushless direct current (BLDC) motor is efficiently controlled by Fuzzy logic controller compare to the other type of controllers. The dynamic characteristics of the brushless dc motor such as speed, torque, currents and voltages of the inverter components are easily observed and analyzed by using the developed Matlab model. To verify the effectiveness of the controller the simulation results are compared with experimental results.
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Modeling & Simulation of PMSM Drives with Fuzzy Logic Controller
2013
ABSTRACT: The Permanent-magnet-synchronous-machine (PMSM) drives have been increasingly applied in a variety of industrial applications which require fast dynamic response and accurate control over wide speed ranges. In this thesis the control of a Permanent Magnet Synchronous Motor (PMSM) is studied. Usually, a proportional-integral (PI) controller is used as a speed controller for a Permanent Magnet Synchronous Motor (PMSM). However, a PI controller is sensitive to speed changes, load disturbances and parameters variation without continuous tuning of its gains. The conventional approach is to tune the proportional and integral gains manually by observing the response of the system. The tuning of the PI parameters must be made on-line and automatic in order to avoid tedious tasks in manual control. For this reason the design of using fuzzy logic controller (FLC) which replace the proportional-integral (PI) controller.
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Permanent Magnet Synchronous Motor Drive System Based on Fuzzy Control
Applied Mechanics and Materials, 2013
A permanent magnet synchronous motor fuzzy control drive system based on field programmable gate array is proposed in this paper. This system has the high-precision control characteristic, which is hard for the traditional permanent magnet synchronous motor drive system to achieve. In this system a magnetic field oriented vector control with a zero excitation current is used, and three feedback loops consisting of current loop, velocity loop and position loop are used to build three fuzzy proportional integral controllers with fuzzy control method. The reliability and the dynamic of system performance can be improved by this method. The experimental results show that this system has advantages of high-precision control characteristic and enhancing the system robustness.
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Sensorless control of PMSM with fuzzy model reference adaptive system
International Journal of Power Electronics and Drive System (IJPEDS) , 2019
To improve the performance of permanent-magnet synchronous motor (PMSM) drives powered by the voltage inverter with PWM control, a sensorless control scheme based on a Model Reference Adaptive System (MRAS) a fuzzy logic controller (FLC) based in with fuzzy supervisor structure. The major drawbacks of the conventional MRAS, namely chattering phenomena, high-order harmonics andexternal noise, are discussed. These drawbacks affect the estimated speed accuracy of the MRAS and reduce the control reliability of the system. To eliminate these drawbacks, an FLC is designed and integrated into the MRAS to adjust the observer gain to reduce the chattering in closed loop speed and closed loop current/torque. Comparative simulations using the proposed Fuzzy-MRAS and the conventional MRAS are performed to validate the effectiveness of the proposed FLC structure. Performance simulations of the overall proposed Fuzzy-MRAS based sensorless control scheme are performed to verify the robustness and control reliability of the system. The results show that the proposed Fuzzy MRAS has satisfactory performances with reduction of total harmonic distortion generated in the phase currents.
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