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In this paper, we propose a design model using numerical optimization technique and control technique aiming at improvement of efficiency of the low voltage BLDC motor because the utilization of low voltage motor is increasing for safety and convenience of electric motor use in recent industrial trends. The optimization technique is employed the generalized sensitivity technique and sampling minimization...
A FEM platform is developed to support high precision electric field computing and data analysis. For the precise computing of 550kV SF6 arc quenching chamber, a solve regions division project is presented to improve meshes quality and computation efficiency. At the same time, approach regular triangle algorithm is realized by combing the uniform and gradient disperse for boundary, constraint condition...
Recently the multi-objective optimization of Interior Permanent Magnet Synchronous Motor (IPMSM) used for Electrical Vehicles (EVs) has attracted widely attention. However, it not only suffers from its lower optimization efficiency, but also is difficult to achieve the optimal solution. Therefore, an effective multi-objective optimization design scheme is presented which innovatively integrates Taguchi...
This paper proposes Neural Network (NN) based data interpolation and design optimization algorithm for an Interior Permanent Magnet Synchronous Machine. Data interpolation using NN is suitable for estimating the performance of an electric machine, because NN is approximate function for representing nonlinear data. To utilize NN as an approximate function, training process is required. After training...
This paper proposes a sensorless field-oriented control(FOC) strategy for Surface-mount Permanent Magnet Synchronous Motor(SPMSM). Firstly, a rotor flux estimation method with a high pass filter is introduced. Secondly, the basic principle of PLL and PI parameters tuning method derivation are demonstrated. And then, the compensation method for the phase shift caused by the high pass filter has been...
According to controllability theory of nonlinear coordinated control with multi-agent, this paper proposes a coordinative optimization method based on the model predictive control (MPC) to achieve the coordination control of energy allocation. Between the micro sources with the incremental cost of consistency algorithm for leader-follower, using an interactive algorithm to achieve the exact optimal...
This paper focuses on the rapid regression modeling research for the design optimization of Permanent magnet synchronous linear motors (PMSLM) which are applied in the linear motion machines. Based on the Finite Element Analysis (FEA), the initial PMSLM model is built and the modeling data of optimization are obtained. Then, the machine learning regression algorithm named K-Nearest Neighbor Algorithm...
By analyzing the defects of existing task mapping algorithms, this paper proposed a novel fault model based on spare core technology, and a fault-aware low power-dissipation dynamic task mapping algorithm FLDMA is designed based on NoC system fault, power dissipation and system performance. In the algorithm design, this paper presented the minimum mapping area selection method, designed the first-node...
This paper investigated into a comparative study of modified swarm intelligence based algorithms for solving multi-objective optimal power flow incorporating wind power and load uncertainties to improve its efficiency and optimize power system generation. The proposed method has been tested under a number of modified IEEE test systems. The results show that solving the multi-objective optimal power...
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