MTPA control of mechanical sensorless IPMSM based on adaptive nonlinear control

Najjar-Khodabakhsh, Abbas; Soltani, Jafar

doi:10.1016/j.isatra.2016.01.004

Cited by 15 publications

(7 citation statements)

References 21 publications

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“…For instance, an adaptive input-output feedback linearization strategy is designed for implementing maximum torque per ampere (MTPA) control method to a three-phase interior PMSM (IPMSM) drive; the nonlinear optimization method is utilized to calculate the target currents. 20 Considering the influence of torque ripple in PMSM servo systems, a novel compensation approach integrating adaptive PID-type sliding mode control and model reference adaptive control is developed to improve energy efficiency. 21 To solve the influence issue of disturbance, an adaptive disturbance compensation finite control scheme is designed to guarantee better dynamical response behavior of the PMSM system.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive control for hybrid electric vehicles using sliding mode control

Ding,

Jiao,

Zhang

2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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The complicated transient coupling driving performance of the electromechanical coupling driving system for hybrid electric vehicles can be guaranteed by reasonably distributing the power between the engine and the electric machine. However, the disturbances resulting from system parameter perturbation, model uncertainty, unknown road condition, and uncertain preceding vehicle acceleration would degrade the control performance. To this issue, this article investigates a robust adaptive control scheme based on sliding mode control techniques to handle the complicated transient coupling driving problem for the electromechanical coupling driving process. In the robust adaptive control method, the coordinated control mechanism is designed using the electric machine to compensate for the response deviation of engine torque. Meanwhile, the double-loop adaptive terminal sliding mode speed-tracking control scheme and the adaptive dynamic sliding mode torque tracking control method are designed for the engine and the electric machine, respectively. The proposed control scheme ensures accurate tracking of the desired trajectories of the engine and electric machine in the presence of parameter perturbation and the unknown driving condition. Both simulation and actual vehicle experimental results demonstrate the effectiveness and practicality of the proposed control strategy.

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Section: Introductionmentioning

confidence: 99%

Robust adaptive control for hybrid electric vehicles using sliding mode control

Ding,

Jiao,

Zhang

2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…Therefore, the control method schemes applied to IPMSM drive systems so far, have been mostly the IPMSM drive systems dependent parameters control approaches. Although a few authors and researchers tried to propose some control schemes that could solve the problems that counter fronted with these electric motor drive systems [17][18][19][20][21][22][23][24][25], the non-linearity problems such as magnetic saturation, skin effects, and temperature as well as the uncertainties that exist in these electric motion drive system parameters had not been completely solved until the electric independent control schemes reported in [26,27]. It may be noted that the IPMSM rotor frame two-axis stator reactances, stator resistance, and the rotor permanent magnets flux linkage cataloged values, all seriously vary during the drive system different operating conditions because of the above-mentioned problems.…”

Section: Introductionmentioning

confidence: 99%

“…However, the stator resistance and its two-axis reactances could roughly vary about fifty to one hundred percent of their nominal values. One way to come up with these problems is online estimating the mentioned parameters under persistency of excitation (PE) condition to be valid [25]. It is not necessary to mention that there is no way for online estimation of IPMSM rotor flux linkages both in theory and practice.…”

Section: Introductionmentioning

confidence: 99%

A Parameter Independent Stator Current Space-Vector Reference Frame-Based Sensorless IPMSM Drive Using Sliding Mode Control

et al. 2021

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In this paper, a sliding mode control is presented for direct torque and stator flux control of interior permanent magnet synchronous motor in a rotor speed sensorless drive system. The control scheme is developed in a specific synchronous rotating reference frame (X-Y) in which the stator current space vector coincides with the direct (X) axis. For this control technique no need to have any knowledge of machine parameters such as stator two-axis inductances, rotor permanent magnets flux linkage, and even the rotor initial position. However, the on-line actual stator resistance value is required to estimate the stator flux components in the stator stationary two-axis reference frame. In this control strategy, two simple methods are described for estimating the rotor speed and stator resistance. Some simulation and experimental results are presented to support the validity and effectiveness of the proposed control scheme.

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“…High throughput and continuous scanning or trajectory positioning modes are required for medical, microscopy, micromachining, marking, and 3D printing applications. Due to these factors, the application of the linear motor stages has increased in the past few years [2][3][4][5][6][7][8][9][10]. Direct drive mechanisms are mandatory if there are requirements to minimize the static and dynamic errors of the displacement [11,12] ensure nanometer reputability.…”

Section: Introductionmentioning

confidence: 99%

“…The problems of both static and dynamic displacement errors of the positioning systems are under intensive research as to find a reliable way to diagnose mechanism degradation which would allow us to prevent or even predict error drift [27,28], which will allow to increase product life cycle. Velocity feedback and velocity control loop has significant impact on motion control systems, due to direct impact on system damping [2,3]; however, differentiation of the position still has it challenges.…”

Section: Introductionmentioning

confidence: 99%

Investigation of X and Y Configuration Modal and Dynamic Response to Velocity Excitation of the Nanometer Resolution Linear Servo Motor Stage with Quasi-Industrial Guiding System in Quasi-Stable State

et al. 2021

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Research institutions and industrial enterprises demand high accuracy and precision positioning systems to fulfil cutting edge requirements of up-to-date technological processes in the field of metrology and optical fabrication. Linear motor system design with high performance mechanical guiding system and optical encoder ensures nanometer scale precision and constant static error, which can be calibrated by optical instruments. Mechanical guiding systems has its benefits in case of control theory and its stability; unfortunately, on the other hand, there exists high influence of structure geometry and tribological effects such as friction and modal response. The aforementioned effect cannot be straightforwardly identified during the assembly process. Degradation of dynamic units can be detected only after certain operating time. Single degree of freedom systems are well investigated and the effect of degradation can be predicted, but there exists a gap in the analysis of nanometer scale multi degree of freedom dynamic systems; therefore, novel diagnostic tools need to be proposed. In this particular paper, dual axes dynamic system analysis will be presented. The main idea is to decouple standard stacked XY stage and analyse X and Y configuration as two different configurations of the same object, while imitators of corresponding axes are absolutely solid and stationary. As storage and analysis of time domain data is not efficient, main attention will be concentrated on frequency domain data, while, of course, statistical and graphical representation of dynamic response will be presented. Transfer function, dynamic response, spectral analysis of dynamic response, and modal analysis will be presented and discussed. Based on the collected data and its analysis, comparison of X and Y responses to different velocity excitation will be presented. Finally, conclusions and recommendations of novel diagnostic way will be presented.

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MTPA control of mechanical sensorless IPMSM based on adaptive nonlinear control

Cited by 15 publications

References 21 publications

Robust adaptive control for hybrid electric vehicles using sliding mode control

Robust adaptive control for hybrid electric vehicles using sliding mode control

A Parameter Independent Stator Current Space-Vector Reference Frame-Based Sensorless IPMSM Drive Using Sliding Mode Control

Investigation of X and Y Configuration Modal and Dynamic Response to Velocity Excitation of the Nanometer Resolution Linear Servo Motor Stage with Quasi-Industrial Guiding System in Quasi-Stable State

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