EPE Association: NORpie 2000 - Topic 07: ADVANCED CONTROL OF ASM AND SR

NORpie 2000 - Topic 07: ADVANCED CONTROL OF ASM AND SR
You are here: EPE Documents > 05 - EPE Supported Conference Proceedings > NORpie - Proceedings > NORpie 2000 > NORpie 2000 - Topic 07: ADVANCED CONTROL OF ASM AND SR

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   On the Nonlinear Control of Switched Reluctance Motors
By Mauricio Torres; Duco W. J. Pulle; Jean Pierre Barbot [View]
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Abstract: A new approach for the control of switched reluc- tance electrical machines is presented. In this ap- proach the control objectives are specied as sur- faces in the state space where we desire the system to evolve. Once the system state is constrained to the intersection of these surfaces a set of perfor- mance conditions is satised. As the control ob- jectives are specied as surfaces, non-linear slid- ing mode control is applied to cope with the con- trol problem and no commutation or torque shar- ing strategy is needed. A non linear sliding mode control approach is described for use with a short pitched switched reluctance drive in order to ex- plain the proposed strategy. However, its applica- tion has been aimed for use with full pitched reluc- tance motors. Experimental results are presented to show the eectiveness of the proposed feedback sliding mode controller.

   Fuzzy Systems in Induction Motor Control - a Review of Applications
By V.-M. Leppänen [View]
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Abstract: In this paper, the results of a literature survey of fuzzy systems in induction motor control are presented. First an overview of the search methodology is given, followed by a brief classification of the literature. The paper ends with a discussion of the applications. To describe the scientific activity in the topic during the last ten years, it may be said that induction motor applications cover only some 1 – 2 % of all published engineering or scientific papers dealing with fuzzy applications. On the other hand, a fuzzy approach has been at least mentioned in some 4 % of all papers dealing with induction motors. The majority of applications in the subject area deal with various aspects of motion control of induction motor drives (position, speed, and torque control). Some research activity has also been shown in online efficiency optimization and fault diagnostics of induction motor drives.

   An Inference of Optimal Control Law by using Adaptive Control
By Marian Gaiceanu [View]
[Download]

Abstract: The reduction of the energetic consumption over the dynamic regime period of the induction motor (IM) is an open question, available solutions being researched regarding both the industrial users and domestical ones. Optimal control and adaptive control fields are joint by a feed forward neural network, regarding the latter it was used for approximation of optimal control. The rotor field oriented IM is controlled at constant flux, the optimal control synthesis consisting of the determination of the statoric three-phase currents system, based on the longitudinal and transversal components of the statoric phasor current. The optimal control law provides dynamic regimes with minimal energy consumption. The parameter variation problem cannot be incorporated in the network with on-line training. In this paper, it will be shown the inference of the approximation optimal control solution by using a model reference adaptive control (MRAC). Thus, the huge advantages of these control fields are combined The experimental results show the advantage of application this control strategy versus classical control system in AC drives. The adaptive structure was used in direct form, such that the parametric estimator could provide the controller parameters on-line. The adjustment of parameters law used is obtained by additive composing of two terms: the first will support a gradient adjustment law (which assures the asymptotic performances) and the second will comport an adjustment that includes a sigmoid function (which depends on a single parameter, named k-sigmoid) specific for variable structure control. This component improves the transient response and eliminates the small oscillations of the loop response around the equilibrium state of zero tracking error. This additive composing of the adaptive law assures the robustness to the external disturbances and to the unmodelled dynamics.

   SLIDING MODE TORQUE AND STATOR FLUX CONTROL OF AN INDUCTION MACHINE DRIVE
By F. Moldoveanu; V. Comnac; M. Cernat; I. Draghici; R.M. Cernat [View]
[Download]

Abstract: The principles of variable structure control systems in sliding mode regime are presented and a control structure is derived which allows the application of these principles to the torque and stator flux control of PWM inverter-fed induction machine drives. The design of the control scheme is carried out considering the model of the machine in a fixed two-phase reference frame ( b - a ), in order to work directly with measurable currents and voltages. The electromagnetic torque and the stator flux are controlled by non-linear hysteresis controllers, whose output signals are used in a switching table to generate the command signals of the three-phase inverter. A full order state observer (Luenberger) is used for the stator flux estimation. Simulation (C++) results are presented, showing good performance of the system.

NORpie 2000 - Topic 07: ADVANCED CONTROL OF ASM AND SR
You are here: EPE Documents > 05 - EPE Supported Conference Proceedings > NORpie - Proceedings > NORpie 2000 > NORpie 2000 - Topic 07: ADVANCED CONTROL OF ASM AND SR
	[return to parent folder]

	On the Nonlinear Control of Switched Reluctance Motors By Mauricio Torres; Duco W. J. Pulle; Jean Pierre Barbot	[View] [Download]
Abstract: A new approach for the control of switched reluc- tance electrical machines is presented. In this ap- proach the control objectives are specied as sur- faces in the state space where we desire the system to evolve. Once the system state is constrained to the intersection of these surfaces a set of perfor- mance conditions is satised. As the control ob- jectives are specied as surfaces, non-linear slid- ing mode control is applied to cope with the con- trol problem and no commutation or torque shar- ing strategy is needed. A non linear sliding mode control approach is described for use with a short pitched switched reluctance drive in order to ex- plain the proposed strategy. However, its applica- tion has been aimed for use with full pitched reluc- tance motors. Experimental results are presented to show the eectiveness of the proposed feedback sliding mode controller.

	Fuzzy Systems in Induction Motor Control - a Review of Applications By V.-M. Leppänen	[View] [Download]
Abstract: In this paper, the results of a literature survey of fuzzy systems in induction motor control are presented. First an overview of the search methodology is given, followed by a brief classification of the literature. The paper ends with a discussion of the applications. To describe the scientific activity in the topic during the last ten years, it may be said that induction motor applications cover only some 1 – 2 % of all published engineering or scientific papers dealing with fuzzy applications. On the other hand, a fuzzy approach has been at least mentioned in some 4 % of all papers dealing with induction motors. The majority of applications in the subject area deal with various aspects of motion control of induction motor drives (position, speed, and torque control). Some research activity has also been shown in online efficiency optimization and fault diagnostics of induction motor drives.

	An Inference of Optimal Control Law by using Adaptive Control By Marian Gaiceanu	[View] [Download]
Abstract: The reduction of the energetic consumption over the dynamic regime period of the induction motor (IM) is an open question, available solutions being researched regarding both the industrial users and domestical ones. Optimal control and adaptive control fields are joint by a feed forward neural network, regarding the latter it was used for approximation of optimal control. The rotor field oriented IM is controlled at constant flux, the optimal control synthesis consisting of the determination of the statoric three-phase currents system, based on the longitudinal and transversal components of the statoric phasor current. The optimal control law provides dynamic regimes with minimal energy consumption. The parameter variation problem cannot be incorporated in the network with on-line training. In this paper, it will be shown the inference of the approximation optimal control solution by using a model reference adaptive control (MRAC). Thus, the huge advantages of these control fields are combined The experimental results show the advantage of application this control strategy versus classical control system in AC drives. The adaptive structure was used in direct form, such that the parametric estimator could provide the controller parameters on-line. The adjustment of parameters law used is obtained by additive composing of two terms: the first will support a gradient adjustment law (which assures the asymptotic performances) and the second will comport an adjustment that includes a sigmoid function (which depends on a single parameter, named k-sigmoid) specific for variable structure control. This component improves the transient response and eliminates the small oscillations of the loop response around the equilibrium state of zero tracking error. This additive composing of the adaptive law assures the robustness to the external disturbances and to the unmodelled dynamics.

	SLIDING MODE TORQUE AND STATOR FLUX CONTROL OF AN INDUCTION MACHINE DRIVE By F. Moldoveanu; V. Comnac; M. Cernat; I. Draghici; R.M. Cernat	[View] [Download]
Abstract: The principles of variable structure control systems in sliding mode regime are presented and a control structure is derived which allows the application of these principles to the torque and stator flux control of PWM inverter-fed induction machine drives. The design of the control scheme is carried out considering the model of the machine in a fixed two-phase reference frame ( b - a ), in order to work directly with measurable currents and voltages. The electromagnetic torque and the stator flux are controlled by non-linear hysteresis controllers, whose output signals are used in a switching table to generate the command signals of the three-phase inverter. A full order state observer (Luenberger) is used for the stator flux estimation. Simulation (C++) results are presented, showing good performance of the system.