Sensorless IPMSM drive with EKF estimation of speed and rotor position

Kosaka, Manabu; Uda, Hiroshi

doi:10.1109/cdc.2003.1271951

Cited by 16 publications

(10 citation statements)

References 4 publications

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“…Conventional methods require the assumption that ω is constant [7]. One of the features of our method is that this assumption is not required.…”

Section: Sensorless Drivementioning

confidence: 97%

“…θ e is yielded by (1) dq-axis corresponds with γδ-axis when θ e =0. The IPMSM model on the αβ fixed coordinate is yielded by the following equations [7].…”

Section: The Ipmsm Modelmentioning

confidence: 99%

“…The conventional sensorless controls require an assumption that the motor speed is constant in order to make the rotor position estimation error zero [7]. This assumption becomes a deterrent to quick acceleration and deceleration.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it is widely used for such purpose as driving compressors, and is expected to be applied to Electric Vehicles (EV). Sensorless controls that estimate the rotor angle of the Permanent Magnet Synchronous Motor (PMSM) are widely studied to raise reliability and to cut costs because they can drive the IPMSM without using motor angular sensors [1]- [7]. Most of the sensorless control systems require motor parameters such as winding resistance, permanent magnet flux linkage and inductances.…”

Section: Introductionmentioning

confidence: 99%

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Parameters Identification for Interior Permanent Magnet Synchronous Motor Driven by Sensorless Control

Kosaka

Uda

2009

Journal of Low Frequency Noise, Vibration and Active Control

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In this paper, a new parameter identification method for Interior Permanent Magnet Synchronous Motor (IPMSM) sensorless control is proposed. Noise and vibration in mechanical plant is increased if rotor position estimation error occurs. Furthermore, the rotor position estimation error causes noise and vibration. When load torque and reference motor speed are constant, and phase voltages and phase currents in multiple stationary states are measured, motor parameters can be identified even if an estimated rotor position does not correspond with the actual rotor position. Furthermore, this paper proposes a new sensorless control method that derives the position by solving the motor voltage equation. It is shown that the method is able to estimate the true position even if the motor is in acceleration. Numerical simulations with the implementation of a Pulse Width Modulation (PWM) inverter are illustrated to verify the effect of the methods.

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“…Conventional methods require the assumption that ω is constant [7]. One of the features of our method is that this assumption is not required.…”

Section: Sensorless Drivementioning

confidence: 97%

“…θ e is yielded by (1) dq-axis corresponds with γδ-axis when θ e =0. The IPMSM model on the αβ fixed coordinate is yielded by the following equations [7].…”

Section: The Ipmsm Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Parameters Identification for Interior Permanent Magnet Synchronous Motor Driven by Sensorless Control

Kosaka

Uda

2009

Journal of Low Frequency Noise, Vibration and Active Control

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“…2 was designed using linear optimal control and a Kalman estimator [12], [13]. A cost function J f of the linear optimal control was derived as where the tuning parameters were Q and R, and x g was a state variable of G. Parameters in the Kalman estimator are set as Q n = R n = 1, N n = 0.…”

Section: Design Of F In the Disturbance Observermentioning

confidence: 99%

Generalised Disturbance Observer for Systems with Harmonic Disturbances and Input Saturation Using the Internal Model Principle

Kosaka¹,

Uda²

2010

Journal of Low Frequency Noise, Vibration and Active Control

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It is known that some rotational machines such as compressors, pumps and so on often generate noises and vibrations due to periodic disturbances synchronised with the rotational speed. Vibration suppressing systems such as repetitive control are known to be effective to suppress the periodic disturbances. However, the control input of the repetitive controller may become larger and larger when the control input is saturated. This paper designs a generalised disturbance observer using the internal model principle that is effective to suppress periodic disturbances, and proposes a method that can make control performance deterioration minimal even if the control inputs are saturated. First, the proposed system estimates disturbances using the disturbance observer. Next, the estimated disturbances are passed into a filter of which the gain is one and phase lag is zero at the disturbance's frequencies, and are added into the control input in order to cancel the periodic disturbance. This filter is designed using the internal model principle, and the reason is explained why the filter should not be set to one. Some motor system simulations show that the phase lag of the estimated disturbances correspond to that of the periodic disturbances so that the method can make control performance deterioration minimal. The method is appropriate to rotational machine systems such as compressors and pumps in which the vibrations and noises should be avoided.

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