Model-Free Predictive Current Control of PWM Rectifier Under Unbalanced and Distorted Network

Zhang, Yongchang; Li, Bingyu; Liu, Jie; Liu, Xiang

doi:10.1109/ecce44975.2020.9236226

Cited by 8 publications

(7 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The active inverter process of energy feedback is only applied when braking, so the selection of inductance value is based on the rectification mode. Ignoring the input resistance of the AC side, the vector diagram of the system during steady-state operation is shown in figure 12 [7].…”

Section: Inductance Design To Meet the Power Indexmentioning

confidence: 99%

Analysis and Calculation of Inductor Parameter for PWM rectifier

Tao,

Lei,

Zhipeng

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

In the PWM rectifier, the rationality of the AC side filter inductance design directly affects the performance of the whole system. It not only limits the power output, but also affects the dynamic and static response of the current loop. It has an important influence on the four quadrant stable operation of the motor, the isolation of the grid electromotive force and the harmonic suppression of the current. According to the waveform characteristics of the sinusoidal current, the maximum change rate of the current occurs at the zero-crossing point. In this paper, the inductor is designed to meet the requirement of the change rate of the current near the zero-crossing point, so as to meet the tracking requirement of the current at any time in the whole cycle. In addition, for the design of the AC side inductance, this paper comprehensively designs from the perspective of meeting the requirements of power index and meeting the requirements of suppressing harmonic current.

show abstract

Section: Inductance Design To Meet the Power Indexmentioning

confidence: 99%

Analysis and Calculation of Inductor Parameter for PWM rectifier

Tao,

Lei,

Zhipeng

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…The method is effective in reducing the inverter's average switching frequency. The use of observers such as sliding mode and extended state observers instead of using the algebraic parameter identification techniques are also adopted to estimate the uncertain terms [39]- [43].…”

Section: Literature Reviewmentioning

confidence: 99%

“…recursive least square method is adapted to model-free predictive current control of synchronous motors as an alternative estimation technique by using the data from at least two previous sampling periods [45]. MFPC method is adapted to different power electronic converters [41], [43], [49]- [56]. An improved model-free predictive current control of a PWM rectifier is proposed to reduce the prediction error [56].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The estimation methods can be classified into two approaches. The first approach uses algebraic parameter identification techniques [35]- [38], [55], or observers [39]- [43], and the second one exploits the inherent nature of the control variable ripples (output ripples) to estimate uncertain parts of the ultra-local model [44]- [49], [54] instead of adopting observers. The stability of the control system in the first approach where the observers are used may be an issue that should be considered.…”

Section: B Type Ii-using An Ultra-local Modelmentioning

confidence: 99%

See 1 more Smart Citation

Model-Free Predictive Control of Motor Drives and Power Converters: A Review

et al. 2021

View full text Add to dashboard Cite

Predictive control has emerged as a promising control method in a variety of technological fields. Model predictive control, as one of the subdivisions of this control method, has found a growing number of applications in power electronics and motor drives. In practical implementations, model predictive control faces performance degradation of the controlled plant due to its dependency on a model. There are considerable numbers of review papers that are devoted to the different points of view of predictive control. However, the existing literature lacks a review study that addresses the solutions for parameter dependency of the model predictive control method. Recently, model-free predictive control has been used in drives and power electronics as a solution for dealing with the model-dependency of the model predictive control method. There are many papers that have used such methods. In this paper, a classification is proposed for the different implementation types of model-free predictive control or similar methods that address model parameter uncertainties. Additionally, a comparison between the methods is also presented.INDEX TERMS Control systems, estimation, inverters, motor drives, power conversion, power electronics, predictive control.

show abstract

“…Induction motor drives are considered too, as proposed in [21]. A PWMbased rectifier was considered in [22], including unbalanced and distorted network conditions. Finally, the generality allowed by the model-free approach is further testified by its application to a multilevel inverter in [23].…”

Section: Introductionmentioning

confidence: 99%

Current Ripple Minimisation in Deadbeat Parameter-Free Predictive Control of Synchronous Motor Drives

Bolognani¹,

Carlet²,

Tinazzi³

et al. 2021

IEEE Open J. Ind. Applicat.

View full text Add to dashboard Cite

This paper proposes a motor parameter-free predictive current control of synchronous motor drives. In the context of motor parameter-free controls, the distinctive feature proposed in this paper is the use of the discrete space vector modulation technique. The advantages of the proposed architecture are manifold. As a distinctive feature of the proposed control algorithm compared to model-based solutions, is the real-time self-adaptation capability to the installed motor. Two recursive least-square estimators update runtime an accurate non parametric model. Compared to previous parameter-free solutions, the proposed algorithm can achieve a significantly lower current harmonic distortion at the same control frequency, while keeping the switching frequency value at bay. The result is an efficient and smooth torque delivery. The paper gives the necessary design hints and analyses the steady state performance in terms of both current harmonic distortion and switching frequency, taking finite-set model-based and parameter-free schemes as benchmark. This analysis was previously missing in literature for parameter-free schemes. Experimental validation is completed by including dynamic test results.Index terms-Control of permanent magnet synchronous motor drives (PMSM), Model Predictive Control (MPC), Model-Free Control, Data-driven control.

show abstract

Model-Free Predictive Current Control of PWM Rectifier Under Unbalanced and Distorted Network

Cited by 8 publications

References 21 publications

Analysis and Calculation of Inductor Parameter for PWM rectifier

Analysis and Calculation of Inductor Parameter for PWM rectifier

Model-Free Predictive Control of Motor Drives and Power Converters: A Review

Current Ripple Minimisation in Deadbeat Parameter-Free Predictive Control of Synchronous Motor Drives

Contact Info

Product

Resources

About