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ABSTRACT: This paper presents the development and real-time implementation of a nonlinear controller for the speed control of an induction motor (IM) drive. Neglecting the iron loss in an IM model causes performance deterioration, and there has been research to investigate and cope with this problem in the vector control of an IM. However, little work has been done in the area of the nonlinear control of an IM. In this paper, an adaptive backstepping-based nonlinear controller incorporating the iron loss is developed under the parameter uncertainties. To reduce the complexity in the design of the controller, the motor model is referenced to the rotor magnetizing current, and the controller is developed in the rotor-flux-oriented control scheme. The adaptive backstepping technique is utilized to estimate the parameters online and maintain the global stability of the drive through Lyapunov. The proposed controller is successfully implemented in real time using a digital signal processor board DS 1104 for a laboratory 1/3-hp IM. Both simulation and experimental results show that the proposed controller successfully achieves the rotor-speed-tracking objective and improves dynamic responses as compared to the one without parameter adaptation.
IEEE Transactions on Industrial Electronics 05/2009; · 5.16 Impact Factor
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ABSTRACT: Among the numerous loss minimization algorithms, a loss-model-based approach offers a fast response without torque pulsations. However, it requires the accurate loss model and the knowledge of the motor parameters. Therefore, a technical difficulty in deriving the loss-model-based controller (LMC) lies in the complexity of the full loss model and the online motor parameter adaptation. In an effort to overcome the drawbacks of LMC, this paper presents a new strategy for inverter-fed induction motors drives aiming for both high efficiency and high dynamic performance. A new LMC incorporating the effect of the leakage inductance and an adaptive-backstepping-based nonlinear controller are designed and combined with each other. Thus, online parameter adaptation of LMC can be obtained with no extra effort. The proposed control scheme is implemented in real time using digital signal processor board DS 1104. The simulation and experimental results demonstrate the effectiveness of the proposed scheme.
IEEE Transactions on Energy Conversion 01/2009; · 2.27 Impact Factor
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ABSTRACT: This paper presents the experimental implementation and performance evaluation of a nonlinear controller based speed control of an induction motor (IM) drive. Neglecting the iron loss in an induction motor model causes performance deterioration. In this work, an adaptive backstepping based nonlinear controller incorporating the iron loss in IM model is developed under the parameter uncertainties. The adaptive backstepping technique is utilized to estimate the parameters online and maintain the global stability of the drive. The proposed nonlinear controller based vector control of IM drive is experimentally implemented using a digital signal processor board DS 1104 for a prototype 1/3 hp motor. The experimental results show that the proposed controller achieves rotor speed tracking objectives successfully and improves dynamic responses as compared to the one without parameter adaptation.
Industry Applications Society Annual Meeting, 2008. IAS '08. IEEE; 11/2008
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ABSTRACT: This paper presents the real-time performance evaluation of a nonlinear controller for speed control of an induction motor (IM) drive. Neglecting the iron loss in an induction motor model causes performance deterioration. In this work, an adaptive backstepping based nonlinear controller incorporating the iron loss is developed under the parameter uncertainties. The adaptive backstepping technique is utilized to estimate the parameters online and maintain the global stability of the drive. The proposed controller is successfully implemented in real time using a digital signal processor board DS 1104 for a laboratory 1/3 hp IM. Experimental results show that the proposed controller achieves rotor speed tracking objectives successfully and improves dynamic responses as compared to the one without parameter adaptation.
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on; 06/2008
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ABSTRACT: This paper presents a new loss-model-based controller for an induction motor drive. Among the many loss minimization algorithms (LMA) for an induction motor, a loss-model-based approach has the advantages of fast response and high accuracy. However, the performance of the loss-model controller (LMC) depends on the accuracy of the modeling of the motor drive and losses. In the development of the loss model, there is always a tradeoff between accuracy and complexity. This paper presents a new LMC to determine an optimum flux level for the efficiency optimization of the vector-controlled induction motor drive. An induction motor (IM) model in d-q coordinates is referenced to the rotor magnetizing current. This transformation results in no leakage inductance on the rotor side, thus the decomposition into d-q components in the steady-state motor model can be utilized in deriving the motor loss model. The suggested LMC is simple, but leakage inductances are not omitted. The complete closed loop vector control of the proposed LMC-based IM drive is successfully implemented in real-time using digital signal processor board DS 1104 for a laboratory 1/3 hp motor. The effectiveness of the proposed scheme is demonstrated through simulation and experimental results.
IEEE Transactions on Power Electronics 04/2008; · 4.65 Impact Factor
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ABSTRACT: Among the numerous loss minimization algorithms (LMA), a loss-model-based approach offers a fast response without torque pulsations. However, it requires the accurate loss model and the knowledge of the motor parameters. Therefore, a technical difficulty in deriving the loss model-based controller (LMC) lies in the complexity of the full loss model and the on-line motor parameter adaptation. In an effort to overcome the drawbacks of LMC, this paper presents a new strategy for inverter-fed IM drives aiming for both high efficiency and high dynamic performance. A new LMC incorporating the effect of the leakage inductance and an adaptive backstepping based nonlinear controller (ABNC) are designed and combined with each other. Thus on-line parameter adaptation of LMC can be obtained with no extra effort. The proposed control scheme is implemented in real-time using digital signal processor board DS 1104 and simulation and experimental results demonstrate the effectiveness of the proposed scheme.
Power Engineering Society General Meeting, 2007. IEEE; 07/2007
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ABSTRACT: This paper presents a new loss model based controller for an induction motor drive. Among the many loss minimization algorithms (LMA) for an induction motor, a loss-model-based approach has the advantages of fast response and high accuracy. However, the performance of the loss model controller (LMC) depends on the accuracy of the modeling of the motor drive and losses. In the development of the loss model, there is always a tradeoff between accuracy and complexity. This paper presents a new LMC to determine an optimum flux level for the efficiency optimization of the vector-controlled induction motor drive. An induction motor (IM) model in d-q coordinates is referenced to the rotor magnetizing current. This transformation results in no leakage inductance on the rotor side, thus the decomposition into d-q components in the steady state motor model can be utilized in deriving the motor loss model. The suggested LMC is simple, but leakage inductances are not omitted. The complete closed loop vector control of the proposed LMC based IM drive is successfully implemented in real-time using digital signal processor board DS 1104 for a laboratory 1/3 hp motor. The effectiveness of the proposed scheme is demonstrated through simulation and experimental results
Industrial Electronics, 2006 IEEE International Symposium on; 08/2006
