EPE Association: EPE-PEMC 2004 - Topic 03-4: Fuzzy control, neuronal control

EPE-PEMC 2004 - Topic 03-4: Fuzzy control, neuronal control
You are here: EPE Documents > 04 - EPE-PEMC Conference Proceedings > EPE-PEMC 2004 - Conference > EPE-PEMC 2004 - Topic 03: CONTROL OF CONVERTERS > EPE-PEMC 2004 - Topic 03-4: Fuzzy control, neuronal control

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   Induction Motor Drive Using Sugeno-Type Fuzzy Logic
By Libor Stepanec, Pavel Brandstetter, P. Fedor, D. Perdukova [View]
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Abstract: In the paper there is shown basic difference between most used fuzzy logic systems. It is also shown why a Sugenotype fuzzy system is preferred for direct implementation to DSP. This type of fuzzy logic is used in vector-controlled induction motor drive as a part of artificial intelligence. There are three phases: development, simulation and DSP implementation which are discussed in this paper. In the first part of the paper there is briefly described difference between two main fuzzy logic systems. Next, there is a description of used control structure. It was realized important simulations, which confirm the rightness of proposed structure and good behaviour of developed fuzzy controller. In the end part of the paper, there are presented the control system with DSP TMS 320C40 and experimental results. There are also presented advantages of fuzzy logic and main features of used method.

   Robustness Test Of PI, Fuzzy And Neuro-Fuzzy Speed Induction Motor Controller.
By Y. Mihoub, B. Mazari, S. Hassaine [View]
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Abstract: This paper deals with the robustness test of Induction motor’s neuro-fuzzy speed controller. A simplified method of vector control is used in order to be close to a linear model. a fuzzy and neuro-fuzzy controller are respectively applied to this method. A comparative robustness tests based on parameters variations ( rotor resistance and inertia ) are developed to evaluate the PI, Fuzzy and neuro-fuzzy controllers.

   Three Phase Active Power Filter Based On Neural Network Of Current Controlled Voltage Source Inverter
By E. E. El-Kholy, A. El-Sabbe, A. El-Hefnawy, Hamdy M. Mharous [View]
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Abstract: This paper presents a shunt active power filter to compensate reactive power and reduce the unwanted harmonics. A shunt active filter is realized employing three-phase voltage source inverter (VSI) bridge with common DC bus capacitor. The shunt active filter acts as a current source, which is connected in parallel with a non-linear load and controlled to generate the required compensation currents. Two different proposed control methods for determiniong the reference compensating currents of the three-phase shunt active power filters based on proportional-integral (PI) controller and Artificial Neural Network (ANN) are presented. Current controller based on modified hysteresis current controller is used to generate the firing pulses. The proposed system is implemented using a high speed Digital Signal Porcessor (DSP). Experimental and simulation results are presented to confirm the validity of the proposed technique.

EPE-PEMC 2004 - Topic 03-4: Fuzzy control, neuronal control
You are here: EPE Documents > 04 - EPE-PEMC Conference Proceedings > EPE-PEMC 2004 - Conference > EPE-PEMC 2004 - Topic 03: CONTROL OF CONVERTERS > EPE-PEMC 2004 - Topic 03-4: Fuzzy control, neuronal control
	[return to parent folder]

	Induction Motor Drive Using Sugeno-Type Fuzzy Logic By Libor Stepanec, Pavel Brandstetter, P. Fedor, D. Perdukova	[View] [Download]
Abstract: In the paper there is shown basic difference between most used fuzzy logic systems. It is also shown why a Sugenotype fuzzy system is preferred for direct implementation to DSP. This type of fuzzy logic is used in vector-controlled induction motor drive as a part of artificial intelligence. There are three phases: development, simulation and DSP implementation which are discussed in this paper. In the first part of the paper there is briefly described difference between two main fuzzy logic systems. Next, there is a description of used control structure. It was realized important simulations, which confirm the rightness of proposed structure and good behaviour of developed fuzzy controller. In the end part of the paper, there are presented the control system with DSP TMS 320C40 and experimental results. There are also presented advantages of fuzzy logic and main features of used method.

	Robustness Test Of PI, Fuzzy And Neuro-Fuzzy Speed Induction Motor Controller. By Y. Mihoub, B. Mazari, S. Hassaine	[View] [Download]
Abstract: This paper deals with the robustness test of Induction motor’s neuro-fuzzy speed controller. A simplified method of vector control is used in order to be close to a linear model. a fuzzy and neuro-fuzzy controller are respectively applied to this method. A comparative robustness tests based on parameters variations ( rotor resistance and inertia ) are developed to evaluate the PI, Fuzzy and neuro-fuzzy controllers.

	Three Phase Active Power Filter Based On Neural Network Of Current Controlled Voltage Source Inverter By E. E. El-Kholy, A. El-Sabbe, A. El-Hefnawy, Hamdy M. Mharous	[View] [Download]
Abstract: This paper presents a shunt active power filter to compensate reactive power and reduce the unwanted harmonics. A shunt active filter is realized employing three-phase voltage source inverter (VSI) bridge with common DC bus capacitor. The shunt active filter acts as a current source, which is connected in parallel with a non-linear load and controlled to generate the required compensation currents. Two different proposed control methods for determiniong the reference compensating currents of the three-phase shunt active power filters based on proportional-integral (PI) controller and Artificial Neural Network (ANN) are presented. Current controller based on modified hysteresis current controller is used to generate the firing pulses. The proposed system is implemented using a high speed Digital Signal Porcessor (DSP). Experimental and simulation results are presented to confirm the validity of the proposed technique.