The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Venkata Dinavahi - One of the best experts on this subject based on the ideXlab platform.

  • real time nonlinear magnetic equivalent circuit model of Induction Machine on fpga for hardware in the loop simulation
    IEEE Transactions on Energy Conversion, 2016
    Co-Authors: Nariman Roshandel Tavana, Venkata Dinavahi
    Abstract:

    Real-time simulation of Induction Machine plays a crucial role in hardware-in-the-loop (HIL) scenarios. Due to the key advantages offered by magnetic equivalent circuits (MEC) for modeling Induction Machines compared with finite element analysis and electric equivalent circuits in terms of computational expense and achieved accuracy, this paper proposes a real-time nonlinear MEC of the Induction Machine. The model is emulated in real time on the field-programmable gate array (FPGA) by exploiting the parallel hardware architecture and fully pipelined arithmetic processing. The performance of the FPGA-based real-time emulated Induction Machine model is investigated and compared with the behavior of an experimental setup of Induction Machine and finite element results to demonstrate the effectiveness and accuracy of proposed approach for HIL applications.

  • experimental validation of a geometrical nonlinear permeance network based real time Induction Machine model
    IEEE Transactions on Industrial Electronics, 2012
    Co-Authors: Babak Asghari, Venkata Dinavahi
    Abstract:

    Real-time digital simulation of electrical Machines and drives is a cost-effective approach in evaluating the true behavior of newly designed Machines and controllers before applying them in a real system. Although many studies exist regarding the optimized models of power electronic drives and digital controllers for real-time simulation, the real-time models of electrical Machines are still limited to the lumped parameter electric circuit models. This is mainly due to the complexity of a detailed electrical Machine model which makes it computationally expensive. This paper presents the modeling, real-time implementation, finite element analysis, and experimental validation of a nonlinear geometrical permeance network based Induction Machine model. A nonlinear permeance network model (PNM) is developed for the real-time simulation of a 3-hp squirrel cage Induction Machine with closed rotor slots. Several studies both under open-loop and closed-loop control conditions are conducted, and the results obtained from the offline and real-time simulations and the experiment are compared with each other to show the effectiveness of the proposed PNM model.

  • experimental validation of a geometrical nonlinear permeance network based real time Induction Machine model
    Power and Energy Society General Meeting, 2012
    Co-Authors: Babak Asghari, Venkata Dinavahi
    Abstract:

    Real-time digital simulation of electrical Machines and drives is a cost-effective approach to evaluate the true behavior of newly designed Machines and controllers before applying them in a real system. Although many studies exist regarding the optimized models of power electronic drives and digital controllers for real-time simulation, the real-time models of electrical Machines are still limited to the lumped parameter electric circuit models. This is mainly due to the complexity of a detailed electrical Machine model which makes it computationally expensive. This paper presents the modeling, real-time implementation, finite element analysis, and experimental validation of a nonlinear geometrical permeance network based Induction Machine model. A nonlinear permeance network model (PNM) is developed for the real-time simulation of a 3 hp squirrel cage Induction Machine (SCIM) with closed rotor slots. Several studies both under open-loop and closed-loop control conditions are conducted and the results obtained from the off-line and realtime simulations and the experiment are compared with each other to show the effectiveness of the proposed PNM model.

T A Lipo - One of the best experts on this subject based on the ideXlab platform.

  • Induction Machine with localized voltage unbalance compensation
    International Electric Machines and Drives Conference, 2019
    Co-Authors: Akihiro Imakiire, T A Lipo
    Abstract:

    This paper introduces a new means of operating an Induction Machine which utilizes a relatively small converter circuit that is capable of maintaining balanced conditions within the Machine even during periods of a voltage unbalance in its AC supply, The control method required for satisfactory operation of the circuit is described and the validity of the control method is confirmed by simulation. Finally, it is shown by experiment that the technique allows one to maintain the performance of the Induction Machine for both sudden voltage sag and voltage surge conditions. This proposed approach is expected to solve persistent problems such as over current, local heating, vibration and stalling when an unbalance voltage occurs.

  • dual stator winding Induction Machine drive
    IEEE Industry Applications Society Annual Meeting, 1998
    Co-Authors: A Munozgarcia, T A Lipo
    Abstract:

    A new dual stator winding Induction Machine drive is described in this paper. The proposed Induction Machine consists of a standard squirrel-cage rotor and a stator with two separate windings wound for a dissimilar number of poles. Each stator winding is fed from an independent variable-frequency variable-voltage inverter. The proposed drive offers such advantages as speed sensorless operation, better reliability, and more flexibility to manipulate the resultant torque-speed curve of the motor. In the proposed drive, zero-speed operation is achieved by independently controlling the two sets of stator currents, hence, maintaining a minimum electrical frequency independent of the mechanical speed. This feature is especially important to minimize the negative impact of the stator resistance influence at low-speed operation and it greatly simplifies the implementation of speed sensorless control schemes. The drive is well suited for either constant volts per hertz or field-oriented (FO) operation. Circulating harmonic currents, common to most dual stator Machines, are eliminated by the dissimilar pole number in each stator winding.

  • modeling and control of a multi phase Induction Machine with structural unbalance
    IEEE Transactions on Energy Conversion, 1996
    Co-Authors: Y Zhao, T A Lipo
    Abstract:

    The multiphase winding structure provides an Induction Machine with capabilities of starting and running even with one or more of its stator phases open-circuited. However, when operated with such a structurally unbalanced condition, the dynamic properties of the Machine will change drastically from its balanced operation condition. For example, field-oriented control strategies developed for a balanced winding structure will no longer function properly and could lead to catastrophic consequences. In this paper, a unified approach to the modeling and field-oriented control of dual three phase Induction Machine with one phase open is presented. Using the concept of vector space decomposition, the proposed technique is established on the basis of the asymmetrical winding structure directly, and thus provides a precise, physically insightful tool to the modeling and control of Induction Machines with structural unbalance.

  • modeling and control of a multi phase Induction Machine with structural unbalance part ii field oriented control and experimental verification
    IEEE Transactions on Energy Conversion, 1996
    Co-Authors: Y Zhao, T A Lipo
    Abstract:

    Field-oriented control techniques for a multi-phase Induction Machine with an unbalanced stator winding structure is presented in this paper. An unbalanced stationary to synchronous reference frame transformation for stator current was developed in this paper to deal with the asymmetrical structure and thus make the field-oriented control techniques developed from balanced Machine winding structure become applicable. Experimental tests were conducted on a dual three phase Induction Machine with a open phase to verify the proposed analytical modeling and control techniques.

B W Williams - One of the best experts on this subject based on the ideXlab platform.

  • dual plane vector control of a five phase Induction Machine for an improved flux pattern
    IEEE Transactions on Industrial Electronics, 2008
    Co-Authors: Libo Zheng, B W Williams, J E Fletcher, Xiangning He
    Abstract:

    A technique to improve the flux pattern within a five-phase Induction Machine is presented. The technique is developed through dual-plane vector control, with synchronized fluxes. By vector space decomposition, an analytical model and vector control of the Machine are accomplished in two orthogonal vector planes,d1-q1 and ds-qs . The magnitude and rotating speed of the associated fluxes (fundamental and third harmonic) can be independently controlled in each vector plane. Synchronization control locks the relative position between the two fluxes. The resultant air-gap flux density is fully controlled, preventing iron saturation. This feature is especially important in reshaping the flux and back EMF waveform of the Machine. A quasi-trapezoidal air-gap flux density distribution is achieved for better iron utilization and higher torque density. It is confirmed that compared with sinusoidal fluxing, the quasi-trapezoidal flux pattern will not lead to an oversized power inverter when improving Machine torque density. The basic understanding and control scheme can be extended to a multiphase Induction Machine with a phase number greater than five.

  • online identification of Induction Machine electrical parameters for vector control loop tuning
    IEEE Transactions on Industrial Electronics, 2003
    Co-Authors: D Telford, M W Dunnigan, B W Williams
    Abstract:

    In a vector-controlled Induction Machine drive, accurate knowledge of the Machine electrical parameters is required to ensure correct alignment of the stator current vector relative to the rotor flux vector, to decouple the fluxand torque-producing currents and to tune the current control loops. This paper presents a new method for online identification of the Induction Machine parameters required to tune a rotor-flux-oriented (RFO) vector control scheme. Accuracy of the slip frequency estimation required for RFO vector control is achieved by utilizing the parameter independent "flux pulse" rotor time constant estimation scheme, which utilizes short-duration pulses injected into the flux-producing current. The parameters required to tune the synchronous frame current control loops with a decoupling circuit are estimated using a recursive estimation scheme derived from the synchronous frame voltage equations. As the "flux pulse" scheme requires signal injection into the flux-producing current a new rotor time constant estimation scheme is presented, based on the sensitivity analysis of the recursive parameter estimation scheme. Simulation and experimental results are presented which demonstrate the effectiveness of the online parameter identification and control loop tuning technique.

  • modeling and simulation of Induction Machine vector control with rotor resistance identification
    IEEE Transactions on Power Electronics, 1997
    Co-Authors: S Wade, Matthew W Dunnigan, B W Williams
    Abstract:

    This paper shows that it is possible to use available commercial software to model and simulate a vector-controlled Induction Machine system. The components of a typical vector control system are introduced and methods given for incorporating these in the MATLAB/SIMULINK software package. The identification of rotor resistance is important in vector control, if high-performance torque control is needed, and modeling of the extended Kalman filter (EKF) algorithm for parameter identification is discussed. It is certainly advisable, when feasible, to precede implementation of new algorithms, whether for control or identification purposes, with an extensive simulation phase. Additionally, a technique for generating pulse-width modulation (PWM) phase commands to extend Machine operation to higher speeds before field weakening occurs is simulated in a vector-controlled Induction Machine, driven by a PWM inverter. This demonstrates the versatility of the vector-controlled Induction Machine system model.

  • modeling and simulation of Induction Machine vector control with rotor resistance identification
    IEEE Transactions on Power Electronics, 1997
    Co-Authors: S Wade, Matthew W Dunnigan, B W Williams
    Abstract:

    This paper shows that it is possible to use available commercial software to model and simulate a vector-controlled Induction Machine system. The components of a typical vector control system are introduced and methods given for incorporating these in the MATLAB/SIMULINK software package. The identification of rotor resistance is important in vector control, if high-performance torque control is needed, and modeling of the extended Kalman filter (EKF) algorithm for parameter identification is discussed. It is certainly advisable, when feasible, to precede implementation of new algorithms, whether for control or identification purposes, with an extensive simulation phase. Additionally, a technique for generating pulse-width modulation (PWM) phase commands to extend Machine operation to higher speeds before field weakening occurs is simulated in a vector-controlled Induction Machine, driven by a PWM inverter. This demonstrates the versatility of the vector-controlled Induction Machine system model.

Longya Xu - One of the best experts on this subject based on the ideXlab platform.

  • sliding mode mras speed estimators for sensorless vector control of Induction Machine
    IEEE Transactions on Industrial Electronics, 2006
    Co-Authors: M Comanescu, Longya Xu
    Abstract:

    This paper presents two novel sliding mode (SM) model reference adaptive system (MRAS) observers for speed estimation in a sensorless-vector-controlled Induction-Machine drive. Both methods use the flux estimated by the voltage model observer as the reference and construct SM flux observers that allow speed estimation. Stability and dynamics of the two proposed SM flux observers are discussed. The observers are compared with the classical MRAS observer. The proposed estimators seem very robust and easy to tune. Unlike the classical MRAS, the speed-estimation process is based on algebraic calculations that do not exhibit underdamped poles or zeros on the right-hand plane. Simulations and experimental results on a 1/4-hp three-phase Induction Machine confirm the validity of the approaches.

  • fuzzy learning enhanced speed control of an indirect field oriented Induction Machine drive
    IEEE Transactions on Control Systems and Technology, 2000
    Co-Authors: Li Zhen, Longya Xu
    Abstract:

    Indirect field orientation (IFO) Induction Machine drives are increasingly employed in industrial drive systems, but the drive performance often degrades due to Machine parameter variations. In this paper, a fuzzy model reference learning control technique is applied to an IFO Induction Machine drive, such that the Machine can follow a reference model (an ideal field oriented Machine) to achieve the desired speed performance. Experimental results are presented to verify the effectiveness of the proposed control scheme.

  • fuzzy learning enhanced speed control of an indirect field oriented Induction Machine drive
    International Symposium on Intelligent Control, 1996
    Co-Authors: Li Zhen, Longya Xu
    Abstract:

    Indirect field orientation (IFO) Induction Machine drives are increasingly employed in industrial drive systems, but the drive performance often degrades due to the Machine parameter variations. In this paper, a fuzzy model reference learning control (FMRLC) technique is applied in an IFO Induction Machine drive, such that the Machine can follow a reference model (an ideal field oriented Machine) to achieve the desired speed performance. Experimental results are presented to verify the effectiveness of the proposed control scheme.

Babak Asghari - One of the best experts on this subject based on the ideXlab platform.

  • experimental validation of a geometrical nonlinear permeance network based real time Induction Machine model
    IEEE Transactions on Industrial Electronics, 2012
    Co-Authors: Babak Asghari, Venkata Dinavahi
    Abstract:

    Real-time digital simulation of electrical Machines and drives is a cost-effective approach in evaluating the true behavior of newly designed Machines and controllers before applying them in a real system. Although many studies exist regarding the optimized models of power electronic drives and digital controllers for real-time simulation, the real-time models of electrical Machines are still limited to the lumped parameter electric circuit models. This is mainly due to the complexity of a detailed electrical Machine model which makes it computationally expensive. This paper presents the modeling, real-time implementation, finite element analysis, and experimental validation of a nonlinear geometrical permeance network based Induction Machine model. A nonlinear permeance network model (PNM) is developed for the real-time simulation of a 3-hp squirrel cage Induction Machine with closed rotor slots. Several studies both under open-loop and closed-loop control conditions are conducted, and the results obtained from the offline and real-time simulations and the experiment are compared with each other to show the effectiveness of the proposed PNM model.

  • experimental validation of a geometrical nonlinear permeance network based real time Induction Machine model
    Power and Energy Society General Meeting, 2012
    Co-Authors: Babak Asghari, Venkata Dinavahi
    Abstract:

    Real-time digital simulation of electrical Machines and drives is a cost-effective approach to evaluate the true behavior of newly designed Machines and controllers before applying them in a real system. Although many studies exist regarding the optimized models of power electronic drives and digital controllers for real-time simulation, the real-time models of electrical Machines are still limited to the lumped parameter electric circuit models. This is mainly due to the complexity of a detailed electrical Machine model which makes it computationally expensive. This paper presents the modeling, real-time implementation, finite element analysis, and experimental validation of a nonlinear geometrical permeance network based Induction Machine model. A nonlinear permeance network model (PNM) is developed for the real-time simulation of a 3 hp squirrel cage Induction Machine (SCIM) with closed rotor slots. Several studies both under open-loop and closed-loop control conditions are conducted and the results obtained from the off-line and realtime simulations and the experiment are compared with each other to show the effectiveness of the proposed PNM model.