Documents
Resources
Learning Center
Upload
Plans & pricing Sign in
Sign Out

2010_6_d9a16585

VIEWS: 0 PAGES: 20

  • pg 1
									   Design and Implementation of
a High-Performance PMLSM Drives
         Using DSP Chip
IEEE TRANSACTIONS ON INDUSTRIAL
    ELECTRONICS, VOL. 55, NO. 3
    Ying-Shieh Kung, Member, IEEE




           Student : Le Thi Van Anh
           Advisor : Ying-Shieh Kung
Outline

ØIntroduction
ØSystem description and controller
 design
ØExperiments and results
ØConclusion
Introduction
•
               Permanent magnet linear
               synchronous motor
System description and
   controller design
A. Current Vector Control
Ø The mathematical model of a PMLSM




Ø The developed electromagnetic thrust force



Ø 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
Ø   The Initial fuzzy control rules




Ø Using the singleton fuzzifier, the product-inference rule
  and the central average defuzzifier method:
 B. Adaptive Fuzzy Controller in
       Position Control Loop
Ø The gradient descent method is used to derive the
  adaptive control law.
     C. Point to Point Motion
              control
Ø Point to point motion control scheme
Experiments and results

v The experimental system
  Ø a TMS320F2812 DSP controller
  Ø a voltage source (IGBT) inverter
  Ø A PMLSM manufactured by the BALDOR electric
    company
  Ø 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
Ø 6 kg load and using a   Ø6 kg load and using the
    fuzzy controller      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

Ø The simulation results show the effectiveness
  of adaptive ability of the proposed control algorithm.

Ø 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.
thank you for listening

								
To top