EPE Association: EPE 1997 – 34: Dialogue Session DS4b-1: FUZZY CONTROL

EPE 1997 – 34: Dialogue Session DS4b-1: FUZZY CONTROL
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 1997 - Conference > 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 [View]
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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).

   A FUZZY PID CONTROLLER OPTIMIZED BY GENETIC ALGORITHMS USED FOR A SINGLE PHASE POWER FACTOR PRE-REGULATOR
By Y. Qin; S. Du [View]
[Download]

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.

   TWO LEVEL FUZZY CONTROL FOR SWITCHED RELUCTANCE MOTORS HIERARCHICAL APPROACH
By A. Forrai; H. Hedesiu; Z. Biro [View]
[Download]

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.

   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 [View]
[Download]

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.

   Fuzzy Position Controller for DC Drives
By Sz. Varga; F. Farkas; S. Halasz [View]
[Download]

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.

   DSP IMPLEMENTATION OF A FUZZY BASED DIRECT FLUX AND TORQUE CONTROLLER
By I. G. Bird; H. Zelaya De La Parra [View]
[Download]

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.

   A FUZZY-LOGIC APPROACH FOR EASY AND ROBUST CONTROL OF AN INDUCTION MOTOR
By A. Cataliotti; G. Poma [View]
[Download]

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.

   OPTIMISED FUZZY ALGORITHM TO CONTROL ADHESION CONDITIONS DURING STARTING IN AC DRIVES FOR TRACTION APPLICATIONS
By F. Brondolo; P. Ferrari; M. Marchesoni; L. Puglisi [View]
[Download]

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.

   STABLE MODEL REFERENCE NEUROCONTROL FOR ELECTRIC DRIVE SYSTEMS
By K. Fischle; D. Schroder [View]
[Download]

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.

EPE 1997 – 34: Dialogue Session DS4b-1: FUZZY CONTROL
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 1997 - Conference > EPE 1997 – 34: Dialogue Session DS4b-1: FUZZY CONTROL
	[return to parent folder]

	FUZZY LOGIC CONTROLLED DC MOTOR DRIVE IN THE PRESENCE OF LOAD DISTURBANCE By W. G. da Silva; P. P. Acamley	[View] [Download]
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).

	A FUZZY PID CONTROLLER OPTIMIZED BY GENETIC ALGORITHMS USED FOR A SINGLE PHASE POWER FACTOR PRE-REGULATOR By Y. Qin; S. Du	[View] [Download]
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.

	TWO LEVEL FUZZY CONTROL FOR SWITCHED RELUCTANCE MOTORS HIERARCHICAL APPROACH By A. Forrai; H. Hedesiu; Z. Biro	[View] [Download]
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.

	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	[View] [Download]
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.

	Fuzzy Position Controller for DC Drives By Sz. Varga; F. Farkas; S. Halasz	[View] [Download]
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.

	DSP IMPLEMENTATION OF A FUZZY BASED DIRECT FLUX AND TORQUE CONTROLLER By I. G. Bird; H. Zelaya De La Parra	[View] [Download]
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.

	A FUZZY-LOGIC APPROACH FOR EASY AND ROBUST CONTROL OF AN INDUCTION MOTOR By A. Cataliotti; G. Poma	[View] [Download]
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.

	OPTIMISED FUZZY ALGORITHM TO CONTROL ADHESION CONDITIONS DURING STARTING IN AC DRIVES FOR TRACTION APPLICATIONS By F. Brondolo; P. Ferrari; M. Marchesoni; L. Puglisi	[View] [Download]
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.

	STABLE MODEL REFERENCE NEUROCONTROL FOR ELECTRIC DRIVE SYSTEMS By K. Fischle; D. Schroder	[View] [Download]
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.