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An Extended-State Observer based
system of Brushless DC Motor using
fuzzy logic
Cross Strait Quad-Regional Radio Science and Wireless
Technology Conference, VOL. 1, p.p. 575-578, July 2011
Outline
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ABSTRACT
INTRODUCTION
MATHEMATIC MODEL OF THE BLDCM MODEL
NONLINEAR PID CONTROLLER WITH FUZZY LOGIC
HARDWARE STRUCTURE
EXPERIMENT RESULTS
CONCLUSION
REFERENCES
DECISION AND CONTROL LAB
Abstract
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Brushless DC (BLDC) motors are widely used in
vehicles because of its superior performance. The load
disturbances in a BLDC have great influence on system
performance.
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Some complex algorithms were proposed to overcome
the deficiency are difficult to implement on a single
DSP chip but they are not easy to implement.
DECISION AND CONTROL LAB
Abstract
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To solve the problem, an extended-state observer was
used to obtain the estimate signals for speed feedback
signal and its differential, as well as estimated signal for
load disturbance.
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A functional design of FPGA in a brush less DC motor
system based on FPGA and DSP was completed by
using modular design method. The simulation and
experiment results show that the proposed control
method can enhance the performances of the servo
system in rapidity, control accuracy, adaptability and
robustness
DECISION AND CONTROL LAB
INTRODUCTION
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Brushless DC motors enjoy their tremendous popularity in
fields such as vehicles, aerospace, medical, industrial
automation equipment and instrumentation because of
their high efficiency, high power factor, silent operation,
compact form, reliability, and low maintenance. raditional
linear PID servo control algorithm is simple, easy to
implement, but can not meet the requirements for
applications of more accuate and dynamic occations
DECISION AND CONTROL LAB
MATHEMATIC MODEL OF THE BLDCM
MODEL
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The BLDCM produces a trapezoidal back electromotive
force (EMF),
and the applied current waveform is
rectangular shaped. The self-inductance is L, and the
mutual inductance is M. Hence the three-phase stator
voltage balance equation can be expressed by the following
state equation
DECISION AND CONTROL LAB
NONLINEAR PID CONTROLLER WITH
FUZZY LOGIC
DECISION AND CONTROL LAB
NONLINEAR PID CONTROLLER WITH
FUZZY LOGIC
DECISION AND CONTROL LAB
NONLINEAR PID CONTROLLER WITH
FUZZY LOGIC
DECISION AND CONTROL LAB
NONLINEAR PID CONTROLLER WITH
FUZZY LOGIC
DECISION AND CONTROL LAB
HARDWARE STRUCTURE
DECISION AND CONTROL LAB
HARDWARE STRUCTURE
DECISION AND CONTROL LAB
EXPERIMENT RESULTS
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The algorithm mentioned above is approved both by
the MA TLAB simulation and the experiment. And the
simulation and experiment results are shown as below.
DECISION AND CONTROL LAB
EXPERIMENT RESULTS
DECISION AND CONTROL LAB
EXPERIMENT RESULTS
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A novel control strategy is applied into the BLDC speed
servo system. Simulation and experiment results show
that the proposed controller enhance the dynamic and
static performance of the whole system. It maintains not
only the advantages of the nonlinear PID control system,
but also has greater flexibility, adaptability, the better
control accuracy and robustness.
DECISION AND CONTROL LAB
REFERENCES
DECISION AND CONTROL LAB