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RISS 인기검색어
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- 저자 : Tianrui Zhao (검색결과 4 건)
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Zhao Tianrui,Zhu Jingwei,Li Mingxuan,Zang Kun,Liao Haibo 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.4
Aiming at the problems of large computation and complex fault-tolerant control strategy in the application of traditional model predictive current control (MPCC) strategy for six-phase fault-tolerant permanent magnet rim drive motor (FTPMRDM), a six-phase stationary coordinate system based MPCC (SPSCS-MPCC) strategy is proposed. At a fi xed sampling frequency, the six-phase current is calculated from the current moment rotor position, speed, and fault-tolerant control strategy. Furthermore, the six-phase current is predicted independently in two rounds. The optimal switching combination of the six-phase H-bridge inverter circuit is determined by cost function to achieve the MPCC of the FTPM-RDM. Then, the hardware experimental platform based on StarSim is designed. The experimental results demonstrate that the SPSCS-MPCC proposed in this paper not only has the advantages of a simple algorithm and low motor torque pulsation under fault-free and open-circuit faults but also takes into account the fast dynamic response of traditional MPCC algorithms.
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Yue Jiubo,Zhu Jingwei,Zhao Tianrui,Wang Zhe,He Wangsong 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.4
Aiming at the problem of large torque ripple of permanent magnet synchronous motor in Marine electric propulsion system, the three-vector model predictive current control (MPCC) strategy based on three-level inverter is proposed. The use of three-level inverters provides more voltage vectors that two-level inverters cannot provide, increasing the number and type of voltage vectors, and three voltage vectors are used in each control cycle, including two eff ective voltage vectors and a zero vector, so that the amplitude and direction of the output voltage vector are adjustable, and eff ectively reducing the motor torque ripple and current harmonics. The action time of the three voltage vectors is calculated by the principle of current deadbeat control. The proposed control method was verifi ed by the StarSim simulation experimental platform of the ModelingTech Company. the experiment result shows that compared to the two-level dual-vector MPCC strategy, the torque ripple of the motor under the three-level three-vector MPCC strategy is reduced by 11.5% and 5.25% at half-load and rated-load respectively.
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Surveillant: a supervision mechanism between blockchains for efficient cross-chain verification
Xinyu Liang,Jing Chen,Ruiying Du,Tianrui Zhao 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.8
Blockchain interoperability, which refers in particular to the ability to access information across blockchain systems, plays the key role for different blockchains to communicate with each other, and further supports the superstructure built on top of the cross-chain mechanism. Nowadays, blockchain interoperability technology is still in its infancy. The existing cross-chain scheme such as BTCRelay requires that the smart contract in a blockchain to download and maintain block headers of the other blockchain, which is costly in maintenance and inefficient to use. In this paper, we propose a supervision mechanism between blockchains, called Surveillant. Specially, the new entities called dual-functional nodes are introduced to commit the real-time information from the blockchain under supervision to the supervising blockchain, which enables users to have efficient cross-chain verification. Furthermore, we introduce Merkle mountain range for blocks aggregation to deal with the large-scale committing data. We propose the design of long orphan branch counter to trace the bifurcations in the blockchain under supervision. The existing incentive mechanism is improved to encourage the behaviors of dual-functional nodes. In Surveillant, the analysis and experimental results demonstrate that users are able to have efficient cross-chain verification with low maintenance overhead.
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Wang Zhe,Zhu Jingwei,He Wangsong,Yue Jiubo,Zhao Tianrui 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.5
Aiming at the time-consuming issue of traditional fi nite element analysis (FEA) method machine design and optimization, and the infl exibility of machine parameter verifi cation, an analysis and optimization method for the design of a fault tolerant permanent magnet vernier rim driven machine (FTPMV-RDM) based on the continuous variable magnetic network model (CVMNM) is proposed. The machine is modeled by the method using a combination of fl ux path and cross-shaped mesh, with full consideration of the eff ects of permanent magnet leakage and machine core saturation. Meanwhile, the connection relationship between the stator and rotor models can be continuously varied to simulate the rotation of the machine. The continuous variable magnetic network model is further combined with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) for the optimal design of the machine. Compared to the conventional FEA method, the proposed model reduces the computation time without sacrifi cing accuracy in both no-load and loaded magnetic fi eld calculations. Finally, the experimental results verify the accuracy and eff ectiveness of the method proposed in this paper.
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