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1 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Control of PMSM drives for traction applications Speaker : Magyari Györgyi-Karola.

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Presentation on theme: "1 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Control of PMSM drives for traction applications Speaker : Magyari Györgyi-Karola."— Presentation transcript:

1 1 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Control of PMSM drives for traction applications Speaker : Magyari Györgyi-Karola

2 2 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Contents PMSM drives classification brushless a.c. drive controls control loops with PID-type controllers rules for the controllers settings conclusions

3 3 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari PMSM drive classification with respect to current waveform voltage-frequency correlation motion sensor presence

4 4 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari PMSM drive classification From the point of view of the current waveform : rectangular current control brushless d.c. motor dive sinusoidal current control brushless a.c. motor drive Rectangular and sinusoidal current control

5 5 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Brushless d.c drives: q=1 concentrated coil stator windings surface magnets PMSM drive classification Brushless a.c drives: q1 distributed coil stator windings surface and interior magnets

6 6 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Brushless a.c. drive control scalar control (V/f): a damper cage on the rotor is required, there are no motion sensors low dynamics applications vector control (current or current and voltage): faster dynamics applications direct torque and flux control

7 7 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Brushless a.c. drive control Basic vector control of PMSM: 1 - with motion sensor 2 - sensorless

8 8 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Control loops to control currents, speed, position in PMSM drive heavily affects the performances of the drive system to optimize the time domain step response of the system or the performances in the frequency domain PI-type controller

9 9 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Rules for the control settings symmetrical optimum (SO): a PI controller is designed to control a system with an I-element absolute value optimum (AVO): a PI controller operates in a control system with one long delay time and a sum total of smaller delay times

10 10 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Control settings

11 11 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Control settings

12 12 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Conclusions each control loop can be adjusted efficiently and independently multiple delay times can be reduced or canceled for the higher level controller with compensation in a lower level disturbance variables will be corrected in lower level control loops internal control variables can be limited through the command variable each additional control loop introduces delay time to the higher level, so the changes in the command variables need more time to be corrected

13 13 Marie Curie ECON2 Summer School, July 2008 Politecnico di Bari Thank you for your attention!!!


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