A Robust Approximated Derivative Action of a PID Regulator to be Applied in a Permanent Magnet Synchronous Motor Control
Research output: Contributions to collected editions/works › Chapter › peer-review
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Robust Control: Systems, Theory and Analysis. ed. / Sharon Bennett. New York: Nova Science Publishers, Inc., 2017. p. 103-112 4 (Mechanical Engineering Theory and Applications).
Research output: Contributions to collected editions/works › Chapter › peer-review
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TY - CHAP
T1 - A Robust Approximated Derivative Action of a PID Regulator to be Applied in a Permanent Magnet Synchronous Motor Control
AU - Mercorelli, Paolo
PY - 2017/1/1
Y1 - 2017/1/1
N2 - This paper presented a PID control scheme for a synchronous motor with permanent magnets. PID controllers are the most used controllers in industrial applications and it always presents difficulty to realise the differential part. Moreover, in the last decades a visible effort has been made in the field of sensorless control in which observer and approximation of state variables are used to avoid sensors in the control loop. A polynomial Kalman filter is used to approximate its derivative actions to avoid disturbances and spikes due to the differentiation. The Kalman filter estimates two coefficients at each sampling time, which are necessary to calculate the polynomial of the first order with which the tracking error is intended to be modelled. Simulation results are shown to demonstrate the effectiveness of the approximation.
AB - This paper presented a PID control scheme for a synchronous motor with permanent magnets. PID controllers are the most used controllers in industrial applications and it always presents difficulty to realise the differential part. Moreover, in the last decades a visible effort has been made in the field of sensorless control in which observer and approximation of state variables are used to avoid sensors in the control loop. A polynomial Kalman filter is used to approximate its derivative actions to avoid disturbances and spikes due to the differentiation. The Kalman filter estimates two coefficients at each sampling time, which are necessary to calculate the polynomial of the first order with which the tracking error is intended to be modelled. Simulation results are shown to demonstrate the effectiveness of the approximation.
KW - Engineering
KW - PWM control
KW - Robust derivative
KW - Synchronous motor
UR - http://www.scopus.com/inward/record.url?scp=85061636056&partnerID=8YFLogxK
M3 - Chapter
SN - 978-1-53610-826-2
T3 - Mechanical Engineering Theory and Applications
SP - 103
EP - 112
BT - Robust Control
A2 - Bennett, Sharon
PB - Nova Science Publishers, Inc.
CY - New York
ER -