An enhanced sensorless control based on active disturbance rejection controller for a PMSM system: design and hardware implementation

Lu, Hao; Li, Shengquan; Bao, Feng; Li, Juan

doi:10.1108/aa-01-2022-0016

Cited by 8 publications

(3 citation statements)

References 36 publications

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“…The number and type of mechanical and electrical sensors required are variable in electric drives and depend on multiple characteristics of the system [8,9]. In any case, sensor reduction is a critical obligation in most industry applications to reduce the cost and maintenance of the entire system while maintaining its reliability [10][11][12]. This is particularly interesting in the field of multiphase drives, where, for example, the number of current sensors depends on the number of phases.…”

Section: Introductionmentioning

confidence: 99%

On-Site Calibration of an Electric Drive: A Case Study Using a Multiphase System

Soto-Marchena,

Barrero,

Colodro

et al. 2023

Sensors

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Modern electric machines are attracting great interest from the research community as a result of the increasing number of current applications, including electric vehicles and wind power generators, among others. Different machines, power converters, and control technologies are used, and the number of sensors is usually minimized to reduce the total cost of the system. Particularly interesting are the current and speed sensors, which are essential to the normal functioning of the entire system. This work analyzes different calibration techniques of these sensors, using as a case example a five-phase induction motor drive. Experimental results are included to show the influence of calibration techniques on the system analyzed. The obtained results can be extrapolated to any other similar system.

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Section: Introductionmentioning

confidence: 99%

On-Site Calibration of an Electric Drive: A Case Study Using a Multiphase System

Soto-Marchena,

Barrero,

Colodro

et al. 2023

Sensors

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show abstract

“…Small interior permanent magnet- synchronous machines (IPMSMs) with high power-to-weight ratios behave very nonlinear, due to the slotting effect, permanent magnets, cross coupling, cross saturation and very saturated magnetically nonlinear iron core (Hadžiselimović et al , 2007; Liu et al , 2016). As such machines are generally controlled by using linear closed-loop cascade control, which is based on the constant concentrated parameter d-q dynamic model, adequate control parameters have to be identified (Rafaq and Jung, 2020; Zhu et al , 2021; Lu et al , 2022). Different complexity levels with different dependencies of the d-q models were evaluated by Pouramin et al (2015), Stumberger et al (2003), Michalski et al (2019) and Weidenholzer et al (2013).…”

Section: Introductionmentioning

confidence: 99%

Parameter identification for MTPA control based on a nonlinear d-q dynamic IPMSM model

Garmut

Steentjes²,

Petrun

2022

COMPEL

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Purpose Small highly saturated interior permanent magnet- synchronous machines (IPMSMs) show a very nonlinear behaviour. Such machines are mostly controlled with a closed-loop cascade control, which is based on a d-q two-axis dynamic model with constant concentrated parameters to calculate the control parameters. This paper aims to present the identification of a complete current- and rotor position-dependent d-q dynamic model, which is derived by using a finite element method (FEM) simulation. The machine’s constant parameters are determined for an operation on the maximum torque per ampere (MTPA) curve. The obtained MTPA control performance was evaluated on the complete FEM-based nonlinear d-q model. Design/methodology/approach A FEM model was used to determine the nonlinear properties of the complete d-q dynamic model of the IPMSM. Furthermore, a fitting procedure based on the nonlinear MTPA curve is proposed to determine adequate constant parameters for MTPA operation of the IPMSM. Findings The current-dependent d-q dynamic model of the machine models the relevant dynamic behaviour of the complete current- and rotor position-dependent FEM-based d-q dynamic model. The most adequate control response was achieved while using the constant parameters fitted to the nonlinear MTPA curve by using the proposed method. Originality/value The effect on the motor’s steady-state and dynamic behaviour of differently complex d-q dynamic models was evaluated. A workflow to obtain constant set of parameters for the decoupled operation in the MTPA region was developed and their effect on the control response was analysed.

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“…A designed trajectory tracker of a multi-degrees of freedom (DOF) robot based on ADRC technology had a good performance in the tracking effect without considering gravity compensation (Ye et al , 2017; Shi et al , 2020; Qiao, 2019). There was using ADRC to design controller for robotic tracking control based on uncalibrated vision (Liu et al , 2017; Huang and Su, 2019; Qiu et al , 2020; Ahmed and Ali Shah, 2022; Lu, 2022). And, there was using a method of dynamic SMC for mobile manipulator control (Yu et al , 2017; Suklabaidya et al , 2015; Duarte and Bohn, 2016; Taimoor, 2019; Mou and Wu, 2020).…”

Section: Introductionmentioning

confidence: 99%

The welding tracking technology of an underwater welding robot based on sliding mode active disturbance rejection control

Zhang²

2022

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Purpose A welding robot is a complicated system with uncertainty, time-varying, strong coupling and non-linear system. It is more complicated if it is used in an underwater environment. It is difficult to establish an accurate dynamic model for an underwater welding robot. Aiming at the tracking control of an underwater welding robot, it is difficult to achieve the control performance requirements by the classical proportional integral derivative control method to realize automatic tracking of the seam. The purpose of this paper is to suggest a novel method to deal with these issues. Design/methodology/approach To combine the advantages of active disturbance rejection control (ADRC) and sliding mode control (SMC) to improve the shortcomings of a single control method, a hybrid control method for an underwater welding robot trajectory tracking based on SMC_ADRC is proposed in this research work. Findings The simulation experiment of the proposed approach is carried out by Matlab/Simulink, and the welding experiment is recorded. The seam gets plumper and smoother, with better continuity and no undercut phenomenon. Originality/value The proposed approach is effective and reliable, and the system’s tracking performance is stable, which can effectively reduce chattering and improve system robustness.

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An enhanced sensorless control based on active disturbance rejection controller for a PMSM system: design and hardware implementation

Cited by 8 publications

References 36 publications

On-Site Calibration of an Electric Drive: A Case Study Using a Multiphase System

On-Site Calibration of an Electric Drive: A Case Study Using a Multiphase System

Parameter identification for MTPA control based on a nonlinear d-q dynamic IPMSM model

The welding tracking technology of an underwater welding robot based on sliding mode active disturbance rejection control

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