Optimal Control Strategies for Speed Control of Permanent-Magnet Synchronous Motor Drives
The permanent magnet synchronous motor (PMSM) is
very useful in many applications. Vector control of PMSM is popular
kind of its control. In this paper, at first an optimal vector control for
PMSM is designed and then results are compared with conventional
vector control. Then, it is assumed that the measurements are noisy
and linear quadratic Gaussian (LQG) methodology is used to filter
the noises. The results of noisy optimal vector control and filtered
optimal vector control are compared to each other. Nonlinearity of
PMSM and existence of inverter in its control circuit caused that the
system is nonlinear and time-variant. With deriving average model,
the system is changed to nonlinear time-invariant and then the
nonlinear system is converted to linear system by linearization of
model around average values. This model is used to optimize vector
control then two optimal vector controls are compared to each other.
Simulation results show that the performance and robustness to noise
of the control system has been highly improved.
[1] T. H. Liu and C. H. Liu, "A multiprocessor-based fully digital control
architecture for permanent magnet synchronous motor drives," IEEE
trans. Power Electron., vol. 5, no. 4, pp. 413-423, Oct. 1990.
[2] Raymond B. Sepe and J. H. Lang, "Real-time adaptive control of the
permanent-magnet synchronous motor," IEEE Trans. Indust. Appl., vol
.27, no.4, pp. 704-716, july/aug. 1991.
[3] Jeffrey B.Burl,"Linear optimal control", Addison Wesley Longman, Inc,
1999.
[4] P. C. Krause, Analysis of Electrical Machinary, New York: McGraw
Hill, 1987.
[5] C. Mademlis and N. Margaris, "Loss Minimization in Vector-ontrolled
Interior Permanent-Magnet Synchronous Motor Drives." IEEE
Transactions On Industrial Electronics, Vol. 49, No. 6, December 2002.
[6] S. Banerjce, G. C. Verghese," Nonlinear Phenomena in Power
Electronic", IEEE Press, 2001.
[1] T. H. Liu and C. H. Liu, "A multiprocessor-based fully digital control
architecture for permanent magnet synchronous motor drives," IEEE
trans. Power Electron., vol. 5, no. 4, pp. 413-423, Oct. 1990.
[2] Raymond B. Sepe and J. H. Lang, "Real-time adaptive control of the
permanent-magnet synchronous motor," IEEE Trans. Indust. Appl., vol
.27, no.4, pp. 704-716, july/aug. 1991.
[3] Jeffrey B.Burl,"Linear optimal control", Addison Wesley Longman, Inc,
1999.
[4] P. C. Krause, Analysis of Electrical Machinary, New York: McGraw
Hill, 1987.
[5] C. Mademlis and N. Margaris, "Loss Minimization in Vector-ontrolled
Interior Permanent-Magnet Synchronous Motor Drives." IEEE
Transactions On Industrial Electronics, Vol. 49, No. 6, December 2002.
[6] S. Banerjce, G. C. Verghese," Nonlinear Phenomena in Power
Electronic", IEEE Press, 2001.
@article{"International Journal of Information, Control and Computer Sciences:56540", author = "Roozbeh Molavi and Davood A. Khaburi", title = "Optimal Control Strategies for Speed Control of Permanent-Magnet Synchronous Motor Drives", abstract = "The permanent magnet synchronous motor (PMSM) is
very useful in many applications. Vector control of PMSM is popular
kind of its control. In this paper, at first an optimal vector control for
PMSM is designed and then results are compared with conventional
vector control. Then, it is assumed that the measurements are noisy
and linear quadratic Gaussian (LQG) methodology is used to filter
the noises. The results of noisy optimal vector control and filtered
optimal vector control are compared to each other. Nonlinearity of
PMSM and existence of inverter in its control circuit caused that the
system is nonlinear and time-variant. With deriving average model,
the system is changed to nonlinear time-invariant and then the
nonlinear system is converted to linear system by linearization of
model around average values. This model is used to optimize vector
control then two optimal vector controls are compared to each other.
Simulation results show that the performance and robustness to noise
of the control system has been highly improved.", keywords = "Kalman filter, Linear quadratic Gaussian (LQG),Linear quadratic regulator (LQR), Permanent-Magnet synchronousmotor (PMSM).", volume = "2", number = "8", pages = "2695-5", }