Current Sensorless Control for WRSM Using Model-Free Adaptive Control

Hashjin, Saeid Aghaei; Corne, Adrien; Pang, Shengzhao; Ait-Abderrahim, Karim; Miliani, El-Hadj; Nahid‐Mobarakeh, Babak

doi:10.1109/tte.2020.3030111

Cited by 19 publications

(10 citation statements)

References 36 publications

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“…Parameter error is an issue that has been seen in previous research studying reduced current sensor WRSM drives [13]- [15]. Accurate on-line parameter estimation has previously been shown for a WRSM [17], indicating the potential for a drive system with state and parameter estimation.…”

Section: Model Error Compensationmentioning

confidence: 90%

“…Likewise, the WRSM has seen successful implementation of position sensorless [11], [12] and reduced current sensor [13]- [15] algorithms. Like the PMSM, the position sensorless studies have leveraged high frequency signal injections to estimate the position.…”

Section: Introductionmentioning

confidence: 99%

“…In [14], a nonlinear Luenberger observer was designed using the flux maps of the machine. And in [15], model-free adaptive control was used to avoid the electrical parameters altogether by only using the mechanical dynamic model and the position sensor. All three reduced current sensor methods assume the rotor current sensor is present and suffer from some form of parameter error issue.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Wound Rotor Synchronous Machine Current Estimation Using a Linear Luenberger Observer

Eull

Parker

Preindl

2022

2022 IEEE Transportation Electrification Conference &Amp; Expo (ITEC)

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Electrified transportation is a cornerstone of global decarbonization plans. However, high costs remain an obstacle. To address this, research has been undertaken to remove sensors and replace them with software. Simultaneously, with the volatility in pricing and supply of rare-earth magnets, alternatives to the permanent magnet synchronous machine are being sought. With fundamentally similar performance and the benefit of a controllable flux, the wound rotor synchronous machine is a promising alternative. This paper presents a linear Luenberger observer using the model incorporating rotor flux dynamics and nameplate parameters. It is shown that the wound rotor synchronous machine is observable with only one current sensor, either on the rotor or the stator. However, to overcome parameter error issues, a minimum of one current sensor on the rotor and one on the stator is deemed necessary to provide corrective integral feedback. Simulation results demonstrate that the designed observer can accurately estimate the rotor and stator currents in the presence of model error with the minimum sensor complement during transient and steady state operation.

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Section: Model Error Compensationmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Wound Rotor Synchronous Machine Current Estimation Using a Linear Luenberger Observer

Eull

Parker

Preindl

2022

2022 IEEE Transportation Electrification Conference &Amp; Expo (ITEC)

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show abstract

“…is a polynomial associated with the initial conditions. With the formula (8), formula (11) becomes in the above formula, y 0 is the initial condition corresponding to the time interval t − L e , t . Get rid of y 0 by multiplying both sides by d/ds:…”

Section: Pmslm Model-free Speed Controllermentioning

confidence: 99%

“…Strong robustness and high precision have become the development trend of the speed loop in the PMSLM control system [6]. At present, the main control strategy is predictive control [7], [8], Model-free control [9]- [11], PI control, and adaptive control [12]. Literature [13] applied predictive control to the PMSLM control system to improve the speed controller, ensure the strong robustness of the linear motor system, and reduce the speed fluctuation.…”

Section: Introductionmentioning

confidence: 99%

Design of Model-Free Speed Regulation System for Permanent Magnet Synchronous Linear Motor Based on Adaptive Observer

Zhang

Feng

et al. 2022

IEEE Access

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To simplify the system structure of permanent magnet synchronous linear motor (PMSLM), optimize the kinematic performance of the control system, and further improve the speed tracking accuracy of PMSLM, a model-free speed regulation system design of PMSLM based on the adaptive observer is proposed. Aiming at the control instability problem caused by the parameter uncertainty of PI control in PMSLM, a model-free speed controller (MFC) based on the ultra-local model is proposed, which has strong robustness to the uncertainty of motor parameters. Meanwhile, the actual model of PMSLM is used to build the reference model of the adaptive observer, and the adjustable model is designed with the current equation of PMSLM, to identify the speed of PMSLM. The design not only reduces the dependence of the speed controller on the motor parameters, but also simplifies the complexity and cost of the control system, and improves the control performance and anti-interference ability of the control system. The MFC and the observer based on the model reference adaptive system (MRAS) are built by simulation software and applied to the PMSLM system to verify the superiority of the designed control system. Compared with PI controller, sliding mode controller (SMC), and sliding mode observer (SMO), this control method not only simplifies the control system in structure, but also improves the accuracy of PMSLM tracking speed, improves the dynamic response performance of PMSM control system, and optimizes the control ability of the control system.

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Stabilizing regions of PID controller for a class of unknown nonlinear non‐affine discrete‐time systems

Xiong

Hou

2022

Intl J Robust & Nonlinear

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Based on the technology of dynamic linearization, the stability regions of PID, PI, PD, and P type controllers are investigated for a class of unknown nonlinear non-affine discrete-time systems. An equivalent data model to the unknown nonlinear system is established first through the dynamic linearization technique. Then based on the established data model, the determination of the structure of PID/PI controller has been given by rigorous theoretical derivation. The closed-loop system is shown to be asymptotically stable for the PID, PI controllers, and the output/input signals of the closed loop system are bounded for the PD and P type controllers with the method of contraction mapping principle. An example of nonlinear non-affine discrete-time systems is used to demonstrate its correspondingly stability regions.

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Current Sensorless Control for WRSM Using Model-Free Adaptive Control

Cited by 19 publications

References 36 publications

Wound Rotor Synchronous Machine Current Estimation Using a Linear Luenberger Observer

Wound Rotor Synchronous Machine Current Estimation Using a Linear Luenberger Observer

Design of Model-Free Speed Regulation System for Permanent Magnet Synchronous Linear Motor Based on Adaptive Observer

Stabilizing regions of PID controller for a class of unknown nonlinear non‐affine discrete‐time systems

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