A Model-Based Predictive Direct Power Control for Traction Line-Side Converter in High-Speed Railway

Dual vector model predictive current control (DVMPCC) has been receiving plenty of concern due to its excellent static and dynamic performance. However, the application time of each selected voltage vector may not be optimal value because the calculation of duty cycle for each voltage vector is independent of the cost function. Here, to overcome the drawbacks of the current calculation methods, the paper introduces a novel approach to calculate the duty cycles for the two voltage vectors in one sampling time by combining the duty cycle calculation into the cost function. In this algorithm, the segment golden search method is used to find the optimal duty cycles for any pair of two voltage vectors. The cost function compares the available pairs of voltage vectors based on the obtained optimal duty cycles of each pair of voltage vectors to select the optimal pair of voltage vectors and duty cycles. In addition, to reduce the complexity of the algorithm, the redundant pairs of voltage vectors are eliminated and the available pairs of the voltage vectors is limit to five. Furthermore, a novel switching pattern is introduced to reduce the average switching frequency. When the inverter adopts the proposed MPCC, the optimal switching time and optimal voltage vector pair are both obtained at the same time, and the result duty cycle is always a reasonable number within the sampling interval. Comparative studies between the proposed method and a recently introduced duty cycle-based MPCC are carried out. The performance of a permanent magnet synchronous motor drive under the proposed MPCC confirms superiority in terms of average switching frequency, better quality currents, and electromagnetic torque ripple. INDEX TERMS Model predictive control, segment golden search method, permanent magnet synchronous motor, dual-vector MPCC.

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“…From (7) and (8), the stator current of the d-and q-axes at the end of sampling period with the selected voltage vectors should be as follows…”

Section: A Discrete State Equations Of a Pmsmmentioning

confidence: 99%

Dual-Vector Model Predictive Current Control of Permanent Magnet Synchronous Motor Drives With the Segment Golden Search Method

Chen

Zhang

2020

IEEE Access

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“…The control hardware in the loop (CHIL) [2], [29] experiments of the grid-tied converter are carried out, as shown in Figs. 23-26, to validate the theoretical analysis and simulations, and the parameters listed in Table I are used.…”

Section: Experimental Verificationmentioning

confidence: 99%

Stability Investigation of Bidirectional AC-DC Converter Considering Operating Conditions

Shuai

Liu

et al. 2020

IEEE Access

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This paper investigates the stability performances of bidirectional ac-dc converters considering operating conditions based on the small-signal impedance model. It finds that the converter has different stability margins when working in different operating conditions (including inverter mode and rectifier mode, as well as generating/absorbing reactive power), which should be taken into account in the design of the converter for bidirectional energy conversions. To have an intuitive understanding of the instability mechanisms of bidirectional converters in different operating conditions, the concept of positive feedback is used. It finds that with phase-lock loop (PLL) and dc-link voltage control loop (VCL), positive feedback effects appear when the converter operating in different conditions; and the influencing mechanisms of the parameters, including control parameters of PLL, inner current and outer voltage controllers and power ratings, on the converter's stability can be explicitly identified by the positive feedback gains. And it indicates that reducing the values of the parameters along the positive feedback paths will be a practical way to enhance the converter's stability. The theoretical stability analysis results are verified by simulations and experiments.

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“…and i~C p n is the predicted sample of i C p n . Substituting the predicted current of (27) into (26) and considering i Cp [n + 1] as its reference value, the following equation is obtained:…”

Section: Predictive Dbccmentioning

confidence: 99%

Hybrid railway power quality conditioner based on half‐bridge converter and asymmetric balanced traction transformer with deadbeat current control

Roudsari

Jalilian

Jamali

2019

IET Power Electronics

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AC electrified railway system is a huge single-phase load, which causes significant power quality (PQ) problems to the upstream power grid. Active railway PQ conditioners (ARPQC) have been introduced to overcome the PQ problems. One of the most important complications of the ARPQCs is its high VA rating which entails significant escalation in the price of the conditioner. To mitigate the rating of the ARPQC, a hybrid configuration including an asymmetric balancing traction transformer and a half-bridge railway PQ conditioner (HBRPC) is proposed in this study. The predictive deadbeat current control with low computational burden and fast dynamic response is used to optimise the performance of the HBRPC. Additionally, a PI adaptive gain controller is proposed for DC-link voltage stabilisation, which minimises the negative impact of the voltage control on the current control stage. The feasibility and functionality of the proposed scheme is validated via simulation and experimental results.

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A Model-Based Predictive Direct Power Control for Traction Line-Side Converter in High-Speed Railway

Cited by 34 publications

References 15 publications

Dual-Vector Model Predictive Current Control of Permanent Magnet Synchronous Motor Drives With the Segment Golden Search Method

Dual-Vector Model Predictive Current Control of Permanent Magnet Synchronous Motor Drives With the Segment Golden Search Method

Stability Investigation of Bidirectional AC-DC Converter Considering Operating Conditions

Hybrid railway power quality conditioner based on half‐bridge converter and asymmetric balanced traction transformer with deadbeat current control

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