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Robert D Lorenz - One of the best experts on this subject based on the ideXlab platform.

  • low sampling frequency stator Flux Linkage observer for interior permanent magnet synchronous machines
    IEEE Transactions on Industry Applications, 2015
    Co-Authors: Robert D Lorenz
    Abstract:

    Deadbeat-direct torque and Flux control (DB-DTFC) is a direct torque control (DTC) method that provides the fastest possible torque response with smooth and continuous operation even at the voltage limits. DB-DTFC achieves the smoothest possible torque and Flux trajectory tracking performance by using the machine inverse model to select volt-second solutions that will produce the desired torque and Flux by the end of each pulsewidth modulation (PWM) interval. Since the DB-DTFC inverse model requires accurate steady-state and dynamic Flux estimates, discrete-time stator current and Flux Linkage observers are needed to properly implement DB-DTFC. The existing high-sampling-frequency stator current and Flux Linkage observers are formed based on approximate discrete-time models for IPMSMs by assuming high-sampling-frequency (10-kHz) operation. This paper presents a more exact discrete-time model for IPMSMs, such that, even at low sampling frequencies, proper stator current and Flux Linkage observers can be formed to achieve accurate current and Flux Linkage estimation. The proposed low-sampling-frequency stator current and Flux observers are developed using discrete-time modeling with an inverter-sourced volt-second input model. The proposed observers are shown to be very feasible for real-time implementation, and their experimental evaluation documents the improvement achieved compared to high-sampling-frequency observers, even under machine parameter variations.

  • high frequency injection based stator Flux Linkage and torque estimation for db dtfc implementation on ipmsms considering cross saturation effects
    IEEE Transactions on Industry Applications, 2014
    Co-Authors: Robert D Lorenz
    Abstract:

    Deadbeat-direct torque and Flux control (DB-DTFC) is a direct torque control method that provides the fastest possible torque control, low ripple, easily integrated dynamic loss minimization control, and one control law that uses the inherent volt-second source properties of power electronics to enable operation over all operating conditions, including voltage limits. DB-DTFC is a model-based discrete time controller that relies on precise machine parameter, Flux, and torque estimation to provide fast dynamic torque control. In this paper, a new method for high-frequency injection (HFI)-based self- and mutual incremental inductance estimation is proposed and evaluated in both simulations and experiments. In this new method, the estimated incremental inductances including cross-coupling inductance due to cross saturation are curve fitted offline and then used to calculate the apparent inductances. With the apparent inductances, the stator resistance and permanent-magnet Flux Linkage are estimated using recursive least squares method online. The stator Flux Linkage observer using the identified machine parameters yields improved stator Flux Linkage estimates that enable precise torque calculation. Experimental evaluation of the HFI-based Flux estimates on torque estimation and control accuracy is performed at an interior permanent-magnet synchronous machine drive test bench with a torque transducer mounted.

  • reduced parameter sensitivity stator Flux Linkage observer in deadbeat direct torque and Flux control for ipmsms
    IEEE Transactions on Industry Applications, 2014
    Co-Authors: Robert D Lorenz
    Abstract:

    Direct torque control (DTC) has become a widely acceptable alternative to field-oriented control. Deadbeat-direct torque and Flux control (DB-DTFC) is a significant improvement over the classical DTC methods and provides opportunities for fast simultaneous control of torque and dynamic loss minimization. DB-DTFC uses estimated torque and stator Flux magnitude from a stator Flux observer as feedback. The constant parameter state observer utilizes the system model to estimate immeasurable physical states or dynamics of the real system. However, the constant parameter stator Flux observer is parameter sensitive at low frequencies. This paper presents a Flux observer that utilizes disturbance input decoupling (DID) so that even under varying or inaccurately identified machine parameters, stator Flux Linkage and torque can be accurately estimated. The structure of the DID Flux observer is theoretically derived and discussed. The Flux estimation error due to the parameter variations is decoupled through the disturbance information from a stator current observer. Comparative evaluation of the DID Flux observer versus the constant parameter Flux observer has been performed via both simulation and experiments.

  • high frequency injection based stator Flux Linkage and torque estimation for db dtfc implementation on ipmsms considering cross saturation effects
    Energy Conversion Congress and Exposition, 2013
    Co-Authors: Robert D Lorenz
    Abstract:

    Deadbeat-direct torque and Flux control (DB-DTFC) has demonstrated several technical advantages over classical hysteresis DTC and PI regulator based direct torque control (DTC) methods. These include fast torque control, low ripple, easily integrated dynamic loss minimization control, and one control law that uses the inherent Volt-sec. source properties of power electronics to enable operation over all operating conditions including voltage limits. DB-DTFC uses the fundamental machine model to form the inverse solution for Volt-sec selection at each switching period. Therefore, DB-DTFC is a model-based discrete time controller that relies on accurate machine parameter estimation to provide accurate dynamic torque control. In this paper, a new method for high frequency injection-based real-time self- and mutual inductance estimation is proposed and evaluated in both simulations and experiments. In this new method, the estimated inductances including cross-coupling inductance due to cross-saturation are then used to estimate the stator resistance and permanent magnet Flux Linkage. The stator Flux Linkage observer using the identified machine parameters, yields improved stator Flux Linkage estimates that enable precise torque calculation. Experimental evaluation of the HFI-based Flux estimates on torque estimation and control accuracy is performed at an IPMSM drive test bench with torque transducer mounted.

  • reduced parameter sensitivity stator Flux Linkage observer in deadbeat direct torque and Flux control for ipmsms
    International Electric Machines and Drives Conference, 2013
    Co-Authors: Robert D Lorenz
    Abstract:

    Direct torque control (DTC) has become a widely acceptable alternative to field oriented control (FOC). Deadbeat-direct torque and Flux control (DB-DTFC) is a significant improvement over the classical DTC methods and provides the opportunities for fast simultaneous control of torque and dynamic loss minimization. DB-DTFC uses estimated torque and stator Flux magnitude from a stator Flux observer as feedback. The constant parameter state observer utilizes the system model to estimate immeasurable physical states or dynamics of the real system. However, the constant parameter stator Flux observer is parameter sensitive at low frequencies. This paper presents a Flux observer that utilizes disturbance input decoupling (DID) so that even under varying or inaccurately identified machine parameters, stator Flux Linkage and torque can be accurately estimated. The structure of the DID Flux observer is theoretically derived and discussed. The Flux estimation error due to the parameter variations is decoupled through the disturbance information from a stator current observer. Comparative evaluation of the DID Flux observer versus the constant parameter Flux observer has been performed via both simulation and experiments.

Jianguo Zhu - One of the best experts on this subject based on the ideXlab platform.

  • direct torque control based on a fast modeling method for a segmented rotor switched reluctance motor in hev application
    IEEE Journal of Emerging and Selected Topics in Power Electronics, 2021
    Co-Authors: Xiaodong Sun, Kaikai Diao, Zebin Yang, Gang Lei, Youguang Guo, Jianguo Zhu
    Abstract:

    This paper proposes a fast-nonlinear modeling method for the direct torque control (DTC) of a segmented-rotor switched reluctance motor (SSRM) excluding the rotor clamping device. First, the torque-balanced method is used to measure the Flux Linkage values at five crucial positions. The Flux Linkage profile of the SSRM is represented by the fourth-order Fourier series based on the measured values. Then the Kriging model is employed to further describe Flux Linkage and torque characteristics based on the Fourier series. Combination of Fourier series and Kriging model can greatly incorporate their merits and improve the accuracy of the models. Compared with the conventional methods, the finite element analysis data are not required for the modeling process in the proposed method. Finally, simulation and experiments of the DTC and the current chopping control (CCC) methods bash on the modeling method are carried out. The amplitude of Flux Linkage under DTC can be well controlled while that under CCC is increased with the enlargement of load torque. Compared with CCC mode, DTC greatly reduces the torque ripple and exhibits the better speed response while the torque per ampere with CCC mode is higher.

  • Direct Torque Control Based on a Fast Modeling Method for a Segmented-Rotor Switched Reluctance Motor in HEV Application
    IEEE Journal of Emerging and Selected Topics in Power Electronics, 2021
    Co-Authors: Xiaodong Sun, Kaikai Diao, Gang Lei, Youguang Guo, Jianguo Zhu
    Abstract:

    This article proposes a fast-nonlinear modeling method for the direct torque control (DTC) of a segmented-rotor switched reluctance motor (SSRM), excluding the rotor clamping device. First, the torque-balanced method is used to measure the Flux-Linkage values at five crucial positions. The Flux-Linkage profile of the SSRM is represented by the fourth-order Fourier series based on the measured values. Then, the Kriging model is employed to further describe Flux Linkage and torque characteristics based on the Fourier series. A combination of Fourier series and Kriging model can greatly incorporate their merits and improve the accuracy of the models. Compared with the conventional methods, the finite-element analysis data are not required for the modeling process in the proposed method. Finally, the simulations and experiments of the DTC and the current chopping control (CCC) methods based on the modeling method are carried out. The amplitude of Flux Linkage under DTC can be well controlled, while that under CCC is increased with the enlargement of load torque. Compared with the CCC mode, DTC greatly reduces the torque ripple and exhibits the better speed response, while the torque per ampere with CCC mode is higher.

Z Q Zhu - One of the best experts on this subject based on the ideXlab platform.

  • identification of Flux Linkage map of permanent magnet synchronous machines under uncertain circuit resistance and inverter nonlinearity
    IEEE Transactions on Industrial Informatics, 2018
    Co-Authors: Kan Liu, Jianghua Feng, Shuying Guo, Lei Xiao, Z Q Zhu
    Abstract:

    This paper proposes a novel scheme for the identification of the whole Flux Linkage map of permanent magnet synchronous machines, by which the map of dq -axis Flux Linkages at different load or saturation conditions can be identified by the minimization of a proposed estimation model. The proposed method works on a conventional three-phase inverter based vector control system and the immune clonal based quantum genetic algorithm is employed for the global searching of minimal point. Besides, it is also noteworthy that the influence of uncertain inverter nonlinearity and circuit resistance are cancelled during the modeling process. The proposed method is subsequently tested on two PMSMs and shows quite good performance compared with the finite element prediction results.

  • mechanical parameter estimation of permanent magnet synchronous machines with aiding from estimation of rotor pm Flux Linkage
    IEEE Transactions on Industry Applications, 2015
    Co-Authors: Kan Liu, Z Q Zhu
    Abstract:

    This paper proposes a combined parameter estimation for permanent-magnet synchronous machines (PMSMs), by which the rotor permanent-magnet (PM) Flux Linkage and mechanical parameters, such as the combined moment of inertia and viscous friction coefficient, are estimated without the aid from nominal machine parameter values. The proposed estimation of rotor PM Flux Linkage is based on the addition of position offsets and does not need the information of other machine parameters or injection of currents. With the aid from estimated rotor PM Flux Linkage, the electromagnetic torque can be consequently calculated for the estimation of mechanical parameters at no-load condition, and a two-step method is employed to achieve a higher ratio of signal to noise. This combined parameter estimation is finally validated on a surface-mounted PMSM (SPMSM) and an interior PMSM (IPMSM), respectively. It is found that the estimation error of combined moment of inertia with reference to its nominal value can be less than 10 $\%$ even if it (the combined moment of inertia) is lower than $1\times 10^{-3}\ \hbox{kg}\cdot \hbox{m}^{2} $ , while the estimation error will be further decreased to less than 3 $\%$ if it is higher than $7\times 10^{-3}\ \hbox{kg}\cdot \hbox{m}^{2}$ .

  • efficiency improvement of switched Flux pm memory machine over interior pm machine for ev hev applications
    IEEE Transactions on Magnetics, 2014
    Co-Authors: X Liu, Z Q Zhu, Adam Pride, R Deodhar, Toshinori Sasaki
    Abstract:

    In this paper, a novel switched Flux permanent-magnet (SFPM) memory machine, which consists of changeable magnetized permanent magnets (CMPMs) in the stator, is developed and investigated. By changing the magnetization directions of CMPMs, the PM Flux Linkage can be either enhanced or weakened. When PM Flux Linkage is weakened at high speed, the Flux density in the lamination as well as iron loss can be reduced. Thus, higher efficiency can be obtained. To evaluate the efficiency improvement of SFPM memory machine, the efficiency map is calculated and compared with that of interior PM machine by taking Toyota/Prius 2010 as benchmark. It shows that several step changes of PM Flux Linkage can enlarge the high-efficiency region, and also reduce the back-EMF at high speed.

  • online estimation of the rotor Flux Linkage and voltage source inverter nonlinearity in permanent magnet synchronous machine drives
    IEEE Transactions on Power Electronics, 2014
    Co-Authors: Kan Liu, Z Q Zhu
    Abstract:

    This paper proposes a method for online estimating the rotor Flux Linkage and voltage-source inverter (VSI) nonlinearity of permanent magnet synchronous machine (PMSM) drives. Thermocouples are employed for measuring the temperature variation of the stator winding in order to obtain the actual value of stator winding resistance. An Adaline estimator is used for online estimation of distorted voltage Vdead due to VSI nonlinearity. Both are subsequently used for the estimation of the rotor Flux Linkage. The proposed method is experimentally validated on a PMSM drive system and shows good performance in tracking the variation of the rotor Flux Linkage and compensating the VSI nonlinearity.

  • estimation of winding resistance and pm Flux Linkage in brushless ac machines by reduced order extended kalman filter
    International Conference on Networking Sensing and Control, 2007
    Co-Authors: Z Q Zhu, X Zhu, P D Sun, D Howe
    Abstract:

    Simplified reduced-order extended Kalman filter (EKF) models for a surface-mounted permanent magnet brushless AC motor are developed to estimate its winding resistance and Flux-Linkage due to permanent magnets, and potentially, the stator winding and rotor magnet temperature rises. Two reduced-order EKF models are presented based on the sensorless and sensored operation of rotor position and speed, respectively, and the corresponding simulated results are compared. Excellent agreement is achieved between the estimated and actual values.

Masayuki Sanada - One of the best experts on this subject based on the ideXlab platform.

  • maximum torque per ampere control in stator Flux Linkage synchronous frame for dtc based pmsm drives without using q axis inductance
    IEEE Transactions on Industry Applications, 2017
    Co-Authors: Atsushi Shinohara, Yukinori Inoue, Shigeo Morimoto, Masayuki Sanada
    Abstract:

    When direct torque control (DTC) is applied to permanent-magnet synchronous motor (PMSM) drives, the relationship between the torque and stator Flux Linkage is important for high-efficiency drives because DTC requires them as references. In the stator Flux Linkage synchronous frame (M–T frame), the torque is described by a simple equation using the T-axis current. However, the M-axis current is neglected in the equation. This paper derives the relationship between the M-axis current and the stator Flux Linkage, and proposes a maximum torque per ampere (MTPA) control strategy for direct torque controlled PMSM drives using the above relationship. The proposed method does not require the q -axis inductance, which often varies due to the magnetic saturation. The simulation and experimental results verify that the MTPA condition can be obtained with the proposed method.

  • mathematical model of pmsm and synrm under maximum torque per ampere condition in a stator Flux Linkage synchronous frame
    International Conference on Electrical Machines and Systems, 2016
    Co-Authors: Hikaru Kamiyama, Yukinori Inoue, Shigeo Morimoto, Masayuki Sanada
    Abstract:

    This paper proposes a mathematical model representing the maximum torque per ampere curve of a permanent magnet synchronous motor (PMSM) and a synchronous reluctance motor (SynRM) in the M-T frame synchronized with the stator Flux Linkage vector. The proposed model gives the relationship between the stator Flux Linkage and the armature current. It has advantages such as simple calculation and suitable expression for direct torque control based PMSM drives. Two types of PMSMs, an interior PMSM and a surface PMSM (SPMSM), and SynRM are evaluated using finite element analysis. The proposed model of the SPMSM is evaluated by experiment. The validity, including the overload range, is confirmed in this study.

  • maximum torque per ampere control of a direct torque controlled pmsm in a stator Flux Linkage synchronous frame
    IEEE Transactions on Industry Applications, 2016
    Co-Authors: Tatsuki Inoue, Yukinori Inoue, Shigeo Morimoto, Masayuki Sanada
    Abstract:

    This paper proposes a novel method of using maximum torque per ampere (MTPA) control for direct torque control (DTC) of a permanent-magnet synchronous motor (PMSM) in the stator Flux Linkage synchronous (M-T) frame. The stator Flux vector estimation of DTC enables use of the M-T frame. Consideration of the magnetic saturation and cross-coupling effects in PMSMs requires significant complexity in most of the mathematical models using the rotor synchronous ( $d-q$ ) frame. In the M-T frame, the mathematical model for MTPA control requires only three parameters that can be determined from only three measured points. The validity of the proposed method is confirmed by experimental results.

  • mathematical model for mtpa control of permanent magnet synchronous motor in stator Flux Linkage synchronous frame
    IEEE Transactions on Industry Applications, 2015
    Co-Authors: Tatsuki Inoue, Yukinori Inoue, Shigeo Morimoto, Masayuki Sanada
    Abstract:

    A mathematical model is proposed for the maximum torque per ampere (MTPA) control law of a permanent-magnet synchronous motor (PMSM) in the stator Flux Linkage synchronous frame (M-T frame). The mathematical model takes into consideration magnetic saturation and cross-magnetization effects. In taking into consideration magnetic saturation effects, most of the mathematical models in the $d\mbox{-}q$ frame are complex. The M-T frame has several advantages, such as the simplicity of the Flux-weakening control law and its applicability to various motors. In this paper, the control characteristics of a PMSM in the M-T frame are analyzed, and a mathematical model for estimating the MTPA control trajectory in the M-T frame is proposed. In addition, a method of simply determining the parameters for the mathematical model is proposed. The validity of the proposed model is confirmed by comparing the analytical and experimental results.

  • Mechanical sensorless PMSM drive system based on direct torque control in M-T frame synchronized with stator Flux-Linkage vector
    2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED), 2015
    Co-Authors: Yukinori Inoue, Shigeo Morimoto, Masayuki Sanada
    Abstract:

    This paper proposes a mechanical sensorless drive system based on direct torque control for permanent magnet synchronous motor. In the proposed system, the whole control system works in a rotating reference frame that is synchronized with the stator Flux Linkage vector. The armature voltage in the stationary reference frame does not required for the Flux estimation. In addition, the proposed system includes maximum torque per ampere (MTPA) and Flux-weakening controls for wide-speed-range operation. A novel MTPA model is used for the reference Flux calculation. Both simulation and experimental results show the effectiveness of the proposed system.

Xiaodong Sun - One of the best experts on this subject based on the ideXlab platform.

  • direct torque control based on a fast modeling method for a segmented rotor switched reluctance motor in hev application
    IEEE Journal of Emerging and Selected Topics in Power Electronics, 2021
    Co-Authors: Xiaodong Sun, Kaikai Diao, Zebin Yang, Gang Lei, Youguang Guo, Jianguo Zhu
    Abstract:

    This paper proposes a fast-nonlinear modeling method for the direct torque control (DTC) of a segmented-rotor switched reluctance motor (SSRM) excluding the rotor clamping device. First, the torque-balanced method is used to measure the Flux Linkage values at five crucial positions. The Flux Linkage profile of the SSRM is represented by the fourth-order Fourier series based on the measured values. Then the Kriging model is employed to further describe Flux Linkage and torque characteristics based on the Fourier series. Combination of Fourier series and Kriging model can greatly incorporate their merits and improve the accuracy of the models. Compared with the conventional methods, the finite element analysis data are not required for the modeling process in the proposed method. Finally, simulation and experiments of the DTC and the current chopping control (CCC) methods bash on the modeling method are carried out. The amplitude of Flux Linkage under DTC can be well controlled while that under CCC is increased with the enlargement of load torque. Compared with CCC mode, DTC greatly reduces the torque ripple and exhibits the better speed response while the torque per ampere with CCC mode is higher.

  • Direct Torque Control Based on a Fast Modeling Method for a Segmented-Rotor Switched Reluctance Motor in HEV Application
    IEEE Journal of Emerging and Selected Topics in Power Electronics, 2021
    Co-Authors: Xiaodong Sun, Kaikai Diao, Gang Lei, Youguang Guo, Jianguo Zhu
    Abstract:

    This article proposes a fast-nonlinear modeling method for the direct torque control (DTC) of a segmented-rotor switched reluctance motor (SSRM), excluding the rotor clamping device. First, the torque-balanced method is used to measure the Flux-Linkage values at five crucial positions. The Flux-Linkage profile of the SSRM is represented by the fourth-order Fourier series based on the measured values. Then, the Kriging model is employed to further describe Flux Linkage and torque characteristics based on the Fourier series. A combination of Fourier series and Kriging model can greatly incorporate their merits and improve the accuracy of the models. Compared with the conventional methods, the finite-element analysis data are not required for the modeling process in the proposed method. Finally, the simulations and experiments of the DTC and the current chopping control (CCC) methods based on the modeling method are carried out. The amplitude of Flux Linkage under DTC can be well controlled, while that under CCC is increased with the enlargement of load torque. Compared with the CCC mode, DTC greatly reduces the torque ripple and exhibits the better speed response, while the torque per ampere with CCC mode is higher.