On-line Parameter Identification and Self-Commissioning of Current Controller for Servo Motor Drives Considering Time Delay in Both Modeling and Control

Hsu, Chih-Jung; Lai, Yen-Shin

doi:10.1109/iecon.2018.8591288

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…Also, for simplicity we can select SPMSM ( = = ). The state-space model can be represented as in (7)(8)(9).…”

Section: Servo Motormentioning

confidence: 99%

“…In this process, since the under-load system is not suitable for signal injection or specific profiles (in order not to impair the functional motion), existing and measured under loaded signals are used for calculations. Because of this challenge, Fourier transform based signal analysis, model based estimator, observer, predictor, iteration algorithms, adaptive mechanism, filtering techniques are used to determine the disturbance properties [7], [8]. Also, there are filter based scanning approaches for detecting the disturbance's characteristics [9].…”

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confidence: 99%

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Review on Embedded Methods in Parameter Estimation and Auto-tuning of Permanent Magnet Synchronous Servo Machine Driven Industrial Systems

Özküçük¹

2021

Preprint

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“…Also, for simplicity we can select SPMSM ( = = ). The state-space model can be represented as in (7)(8)(9).…”

Section: Servo Motormentioning

confidence: 99%

mentioning

confidence: 99%

Review on Embedded Methods in Parameter Estimation and Auto-tuning of Permanent Magnet Synchronous Servo Machine Driven Industrial Systems

Özküçük¹

2021

Preprint

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“…a delay time of 20

μ

s results in a position error of 7.2° at a fundamental frequency of 1000 Hz). In [27], the time delay was identified through injecting a signal and a real‐time fast Fourier transform under standstill, which is only applicable to the condition with a constant switching frequency. In [28], a dynamic compensation strategy was implemented by using a proportional and integral (PI) regulator constructed based on the difference of the dq ‐axis voltage between the delayed state and the ideal state, in which electrical parameter mismatch was ignored.…”

Section: Introductionmentioning

confidence: 99%

Analysis and compensation of the rotor position offset error and time delay in field‐oriented‐controlled PMSM drives

Lian

Xiao

Liu

et al. 2020

IET Power Electronics

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In high-performance field-oriented control of permanent magnet synchronous machines (PMSMs), an accurate rotor position is indispensable for the key roles in coordinate transformations. However, due to the rotor position offset error and the time delay in digital control systems, it is still challenging to obtain exact rotor position information. In this study, the influence of rotor position error on the control performance of a PMSM drive system is analysed first. Then, two novel compensation technologies, i d regulation and i q = 0 methods, are proposed to accurately compensate for the rotor position for both current and voltage coordinate transformations. The advantage of the proposed scheme is that even without any prior knowledge of the system delay, the rotor position offset and compensation time coefficients can also be precisely calculated. Parameter sensitivity analysis is carried out, and compensation criteria are also provided to improve the compensation accuracy. Experimental results on a 300 kW PMSM drive system demonstrate that compared to the results achieved with conventional methods, the compensation accuracies of the phase angles used for the current and voltage coordinate transformations are increased by 6°a nd 3.1° at 5000 r/min, respectively. Consequently, the control performance and stability margin of the system are efficiently improved.

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“…The main drawbacks of the method, which differ from other methods and negatively affect further development, are the requirements for the accurate measurement of torque and flux parameters and sensitivity to changes in motor parameters, namely inductance and resistance [82,83].…”

mentioning

confidence: 99%

Principles and Methods of Servomotor Control: Comparative Analysis and Applications

Autsou,

Kudelina,

Vaimann

et al. 2024

Applied Sciences

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Servomotors have found widespread application in many areas, such as manufacturing, robotics, automation, and others. Thus, the control of servomotors is divided into various principles and methods, leading to a high diversity of control systems. This article provides an overview of types of servomotors and their basic principles and control methods. Principles such as digital signal processing, feedback control principle, field-oriented control, and integration with Industry 4.0 are discussed. Based on these control principles, the article presents popular control methods: PWM control, current control, two-loop control, fuzzy-logic control, and programmable control. The article concludes with a comparison of the presented methods on several criteria, and as an example, it includes the results of modeling a servomotor using the fuzzy-logic control method.

show abstract

On-line Parameter Identification and Self-Commissioning of Current Controller for Servo Motor Drives Considering Time Delay in Both Modeling and Control

Cited by 5 publications

References 14 publications

Review on Embedded Methods in Parameter Estimation and Auto-tuning of Permanent Magnet Synchronous Servo Machine Driven Industrial Systems

Review on Embedded Methods in Parameter Estimation and Auto-tuning of Permanent Magnet Synchronous Servo Machine Driven Industrial Systems

Analysis and compensation of the rotor position offset error and time delay in field‐oriented‐controlled PMSM drives

Principles and Methods of Servomotor Control: Comparative Analysis and Applications

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