| EPE 1997 – 34: Dialogue Session DS4b-1: FUZZY CONTROL | ||
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 | FUZZY LOGIC CONTROLLED DC MOTOR DRIVE IN THE PRESENCE OF LOAD DISTURBANCE
By W. G. da Silva; P. P. Acamley | |
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Abstract: This paper presents a study of the perfonnance of a separately-excited DC Motor with a fuzzy
speed controller in the presence of load disturbances. Two different control strategies are discussed. Firstly,
a Fuzzy Logic (FL) speed controller is used in cascade configuration with a PI current controller, where the
fanner supplies current demand for the latter. Secondly, the overall control is made by one single FL
controller with multiple inputs and outputs. Results show the perfonnance of each proposed control
approach compared to the conventional Proportional-Integral (PI).
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| | A FUZZY PID CONTROLLER OPTIMIZED BY GENETIC ALGORITHMS USED FOR A SINGLE PHASE POWER FACTOR PRE-REGULATOR
By Y. Qin; S. Du | |
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Abstract: An optimized FUZZY PID
controller for a single phase power factor
corrected converter (PFC) used in an on-line UPS
is proposed in this paper. The parameters of this
fuzzy logic PID controller such as input
membership functions, output membership
functions, inference rules are selected and
optimized by GENETIC ALGORITHMS (GA),
hence the tedious and time consuming
parameters tuning process normally associated
with a fuzzy logic controller design is eliminated.
The selection and optimization criteria is based
on time domain specifications such as response
time, percent of overshoot etc. for a step
reference. The simulation shows excellent results
in terms of response time and output overshoot
for a step reference. This design approach
provides an attractive method to select and
optimize the membership functions and inference
rules of a fuzzy logic controller when it is used to
control single phase PFC converter.
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| | TWO LEVEL FUZZY CONTROL FOR SWITCHED RELUCTANCE MOTORS HIERARCHICAL APPROACH
By A. Forrai; H. Hedesiu; Z. Biro | |
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Abstract: The paper deals with a hierarchical control approach for switched reluctance motor
control. The paper describes the features and the control problems that, arises in case of
switched reluctance motors (SRMs). In order to assure servo-quality performances SRM
requires instantaneous torque control. It means that the current waveforms must be profiled as
the rotor rotates, to obtain the imposed torque with low ripples. At low and medium speed the
SRM is controlled by the current, at high speed there is generally insufficient voltage available
to control the current, thus the motor is controlled via the firing angle.
The changeover from current control to firing angle control is occurring in function on the
operating conditions. The proposed hierarchical control is supervised by fuzzy rules,
established by a human operator function on the motor speed range and speed error.
The proposed control structure is tested in case of a four phase PWM (pulse-width modulation)
inverter fed switched reluctance motor. The implemented control system is a distributed one,
with two processors, one of them is a PlC 16C84 microcontroller and the other is a PC based
system. The control algorithm has been implemented in Lab VIEW graphical programming
environment.
The obtained experimental results show the advantages of the fuzzy based hierarchical control
against the classical control.
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| | REDUCTION OF THE FLUX CONTROL SENSITIVITY TO ELECTRICAL PARAMETER UNCERTAINTIES IN INDUCTION MACHINE FIELD ORIENTED CONTROL BY USING FUZZY LOGIC
By B. Robyns; F. Labrique; H. Buyse | |
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Abstract: The aim of this paper is to analyze an induction machine field oriented control
strategy in which the flux control sensitivity to electrical parameter uncertainties is reduced by
combining, with the help of the fuzzy logic and of a theoretical sensitivity analysis taking into
account the saturation effect, two different methods to compute the stator electrical frequency.
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| | Fuzzy Position Controller for DC Drives
By Sz. Varga; F. Farkas; S. Halasz | |
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Abstract: The fuzzy logic controller (FLC) and proportionalintegral
derivative (PID) controllers are compared for use in a
486 PC-based DC motor positioning system. It is shown that the
fuzzy logic controller is less sensitive for load disturbance
than the conventional PID controller. Adaptability is also
built in the fuzzy controller through which the sets of
position error are changed as the load is modified.
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| | DSP IMPLEMENTATION OF A FUZZY BASED DIRECT FLUX AND TORQUE CONTROLLER
By I. G. Bird; H. Zelaya De La Parra | |
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Abstract: AC motor drives employing Direct Torque Control (DTC) have been shown to
provide excellent dynamic torque response and robustness to parameter variation. In many
cases an outer speed loop is also included to improve the dynamic speed response, often
consisting of a simple Proportional-Integral (PI) controller. In this paper a practical
implementation of DTC is presented which uses a fuzzy logic speed controller in the outer
loop. Fuzzy logic controllers of this type are highly robust to parameter variation and can
provide faster dynamic response than conventional PI controllers and so can make better use of
the fast torque response possible with DTC. The controller is implemented in a TMS320C31
Digital Signal Processor (DSP) and is used to control a 7.5kW induction motor.
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| | A FUZZY-LOGIC APPROACH FOR EASY AND ROBUST CONTROL OF AN INDUCTION MOTOR
By A. Cataliotti; G. Poma | |
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Abstract: This paper presents the study and implementation of a fuzzy-logic speed controller
used in a scalar control of a CRPWM induction motor drive. In particular in the paper a new
approach for an easier design and less time consuming tuning process of the fuzzy controller
is presented in order to obtain the desired value for the response time with minimal overshoot
and to improve the steady-state performance. The fuzzy controller is costructed only upon the
knowledge of the motor behaviour and the desidered speed response and provides fast and
robust control by reducing the effects of non linearities, parameter changes and load
disturbances. The simulation results show an improved dynamic and steady-state behaviour of
the proposed controller and its robustness as compared to a conventional PI controller.
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| | OPTIMISED FUZZY ALGORITHM TO CONTROL ADHESION CONDITIONS DURING STARTING IN AC DRIVES FOR TRACTION APPLICATIONS
By F. Brondolo; P. Ferrari; M. Marchesoni; L. Puglisi | |
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Abstract: This paper deals with the development of an anti-slipping fuzzy controller in
locomotives using AC motor drives as propulsion equipment. The study has been conceived in
order to exploit the maximum attainable adhesion value existing between wheel and rail during
traction. A complete model of the electro-mechanical system including an induction motor
vector control, the wheel and train dynamics regulated by the adhesion phenomenon, and an
anti-slipping fuzzy controller has been implemented using the Matlab-Simulink toolbox.
Simulations results, which are given for several wheel-rail surface conditions, are here reported
and described.
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| | STABLE MODEL REFERENCE NEUROCONTROL FOR ELECTRIC DRIVE SYSTEMS
By K. Fischle; D. Schroder | |
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Abstract: Speed and position control of electric drive systems are often made difficult by
torsional vibrations, nonlinearities and partially unknown system structure and parameters.
A possible solution approach is stable model reference neurocontr'ol, a certain class
of neural network and neuro-fuzzy control concepts which have the particular advantage
of mathematically guaranteed stability and performance. In this paper some recent developments
of stable model reference neurocontrol are summarized, and its applicability
for controlling electric drive systems with torsional vibrations is evaluated by simulation
and experimental examples.
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