Design and Implementation of a High-Performance PMLSM Drives Using DSP Chip Student : Le Thi Van Anh Advisor : Ying-Shieh Kung IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 55, NO. 3 Ying-Shieh Kung, Member, IEEE

Outline  Introduction  System description and controller design  Experiments and results  Conclusion

Introduction Permanent magnet linear synchronous motor

System description and controller design

A. Current Vector Control  The mathematical model of a PMLSM  The developed electromagnetic thrust force  Considering the mechanical load, the dynamic position movement equation of PMLSM

A. Current Vector Control

B. Adaptive Fuzzy Controller in Position Control Loop Initial fuzzy control rules NB,NM,ZO,PS,PM,PB are the symmetrical triangular membership function.

B. Adaptive Fuzzy Controller in Position Control Loop  The Initial fuzzy control rules  Using the singleton fuzzifier, the product-inference rule and the central average defuzzifier method:

B. Adaptive Fuzzy Controller in Position Control Loop  The gradient descent method is used to derive the adaptive control law.

C. Point to Point Motion control  Point to point motion control scheme

Experiments and results  The experimental system  a TMS320F2812 DSP controller  a voltage source (IGBT) inverter  A PMLSM manufactured by the BALDOR electric company  A linear encoder with a resolution of 5 μm mounted on the PMLSM as the position sensor.

Experiments and results The simulation using Matlab

Experiments and results Flow chart of the main an ISR program in the DSP chip

Experiments and results Position and winding current response of step position command using a fuzzy controller 0 Kg 6 kg

Experiments and results  6 kg load and using a fuzzy controller  6 kg load and using the proposed adaptive fuzzy controller

Experiments and results 11 kg load and using fuzzy controller only 11 kg load and using the proposed adaptive fuzzy controller

Experiments and results Five-hundred-millimeter long-distance motion trajectory experiment under a velocity of 1 m/s, acceleration/deceleration of 20 m/s2 and without load

Experiments and results Five-hundred-millimeter long-distance motion trajectory experiment under a velocity of 1 m/s, acceleration/deceleration of 20 m/s2 and load with11 kg

Conclusion  The simulation results show the effectiveness of adaptive ability of the proposed control algorithm.  The experimental results also demonstrate that in the step command response, and the point-to-point motion trajectory, the position of the PMLSM can fast track the prescribed dynamic response accurately after the proposed controller has been used.

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