文件名称:Extended-Kalman-Filter-Based-Speed
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This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions-This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions-This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions
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Extended Kalman Filter Based Speed.pdf