A Simple and Effective Compensation Method for Inverter Nonlinearity

Wang, Xueqing; Nalakath, Shamsuddeen; Filho, Silvio Rotilli; Zhao, Guanghan; Sun, Yingguang; Wiseman, Jason; Emadi, Ali

doi:10.1109/itec48692.2020.9161466

Cited by 10 publications

(3 citation statements)

References 12 publications

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“…Simultaneously, the estimation of inverter voltage drop does not attract a lot of attention and only a few papers on this problem were published recently. The research published in [47] studied the inverter non-linearities and compensation methods; after that it suggested a technique for estimation of the inverter voltage drop, however this algorithm requires value of motor resistance. Furthermore, it operates with predefined constants and does not consider resistance variation, which results in higher errors.…”

Section: State Of the Artmentioning

confidence: 99%

Offline Measurement of Stator Resistance and Inverter Voltage Drop Using Least Squares

Dianov¹,

Anuchin

2023

IEEE Access

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Modern industrial and commercial electrical drives are typically designed to control motors of different types, operating under scalar, field-oriented or direct torque control. These drives execute various algorithm such as sensorless control, temperature monitoring, etc., which require the knowledge of motor drive parameters. In order to do this, the inverters allow data to be input manually or execute selfcommissioning routines before running the motor. The parameters necessary for proper operation include motor phase resistance and inverter voltage drop, which are especially important in low-speed range. This paper presents an offline technique for estimation of mentioned parameters, which can be obtained with enough precision for the overwhelming majority of applications. The proposed algorithm consequently injects DC-current of several levels into the stator of a motor, measuring the corresponding voltages. Each pair of current and voltage is a point in the voltage current characteristic of motor drive, thus set of these points maybe approximated with a first order polynomial using least squares method. The parameters of polynomial are desired inverter voltage drop and phase resistance. The experimental section analyzes estimation errors and their dependence on the number of injected levels, their values and filtering capability of measuring algorithm. After that, the authors give suggestions on algorithm parameters selection, depending on the demanded precision. Finally, the authors demonstrate a mass-producing dishwasher motor drive, which adopted this technique.

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Section: State Of the Artmentioning

confidence: 99%

Offline Measurement of Stator Resistance and Inverter Voltage Drop Using Least Squares

Dianov¹,

Anuchin

2023

IEEE Access

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“…A straightforward solution to compensate for the impact is using voltage feedforward based on a predefine inverter nonlinearity lookup table. However, it requires time-consuming offline measurement, and the digital delay would limit the compensation accuracy at high speed [122].…”

Section: ) Sources Of Distortionsmentioning

confidence: 99%

Observers for High-Speed Sensorless PMSM Drives: Design Methods, Tuning Challenges and Future Trends

et al. 2021

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Rotor position and speed estimation methods are consolidated to reduce the cost and volume of permanent magnet synchronous motor (PMSM) sensorless control drives while maintaining high performance. Advanced nonlinear algorithms require accurate design for precise estimation tracking throughout the entire PMSM operation range. This paper presents a broad review of the main high-speed estimation methods for sensorless PMSM drives. First, the stability constraints and design methodologies of the main estimation techniques presented in the literature are discussed. In the second part, it is investigated the new observer design trends, which are used under non-ideal conditions, such as robustness to distortions, the effects of parameter variation, sensorless parameter estimation, and low sampling-frequency-to-speed ratio operation. Future trends on the design of observers for high-speed sensorless PMSM drives are also discussed.INDEX TERMS High performance drives, permanent magnet synchronous motors, sensorless control, state observer design.

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“…There is extensive research on the topic of compensating inverter switching dead time harmonics that explores various techniques and approaches for compensating the harmonics caused by switching dead time. These methods involve data-intensive approaches where compensation voltage values are extracted from lookup tables (LUTs) [2], as well as the utilization of observers [3] and other methods that require careful parameter tuning [4]. All of these techniques are specifically employed to achieve effective dead time compensation.…”

Section: Introductionmentioning

confidence: 99%

Current Harmonics Minimization of Permanent Magnet Synchronous Machine Based on Iterative Learning Control and Neural Networks

Mai,

Liu,

Wagner

et al. 2023

Machines

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Electrical machines generate unwanted flux and current harmonics. Harmonics can be suppressed using various methods. In this paper, the harmonics are significantly reduced using Iterative Learning Control (ILC) and Neural Networks (NNs). The ILC can compensate for the harmonics well for operation at constant speed and current reference values. The NNs are trained with the data from the ILC and help to suppress the harmonics well even in transient operation. The simulation model is based on flux and torque maps, depending on dq-currents and the electrical angle. The maps are generated from FEM simulation of an interior permanent magnet synchronous machine (IPM) and are published with the paper. They are intended to serve other researchers for direct comparison with their own methods. Simulation results in this paper verify that by using ILC and NNs together, current harmonics in transient operation can be eliminated better than without NNs.

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A Simple and Effective Compensation Method for Inverter Nonlinearity

Cited by 10 publications

References 12 publications

Offline Measurement of Stator Resistance and Inverter Voltage Drop Using Least Squares

Offline Measurement of Stator Resistance and Inverter Voltage Drop Using Least Squares

Observers for High-Speed Sensorless PMSM Drives: Design Methods, Tuning Challenges and Future Trends

Current Harmonics Minimization of Permanent Magnet Synchronous Machine Based on Iterative Learning Control and Neural Networks

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