Direct torque control (DTC) of five-phase PMSMs has been investigated in many literatures. Besides many advantages of this method, large harmonic currents is one the major drawbacks of this scheme. Space vector modulation (SVM) methods have been applied to DTC algorithm to eliminate this problem. But it should be mentioned that SVM methods have complicated calculations. This paper proposes a simple scheme not only uses the DTC method based hysteresis comparators and maintain its simplicity, but eliminates the large harmonic currents. Also, the five-phase PMSM is fed by a three-phase to five-phase matrix converter (MC). Lack of bulky dc-link capacitor and controllable input power factor are some of advantages of MCs. Therefore, the presented method uses the advantages of MC and DTC method and also eliminates the large harmonic currents problem.
In engineering terms, it is always desirable to maximise the efficiency of the motor and to look the problem in economic viewpoint, minimisation of the weight and cost of the motor is required. As these two aspects are like two sides of a coin, it is usually aimed to acquire the best efficiency per weight and cost. As a result, the performance improvement of permanent-magnet synchronous motor (PMSM) has two sides: technical and economic. This study proposes a new approach for design optimisation of an interior PMSM (IPMSM) taking into account both technical performances and economic considerations. The selected rotor configuration is a good candidate for general purpose industrial applications. A multiobjective optimisation technique based on a new and efficient magnetic equivalent circuit of the motor is applied to obtain optimal motor parameters. A Pareto front composed of possible optimal solutions is provided. The best optimal solution is then selected using a k-means clustering algorithm. To verify the efficacy of the design optimisation, the performance characteristics of the optimal PMSM are compared by both the finite element simulations and the experiments. In the test setup, an 8-pole, 200-Watt, four-phase IPMSM with an optimised structure is prototyped where the results give agreeable accuracy.
This paper presents a multiobjective optimal design of the parameters of surface-mounted permanent magnet synchronous motors (PMSMs) considering saturation of the iron core. Multiobjective parameter tuning can further improve the performance characteristics of such motors. Specifically, efficiency and total volume are of great importance in industrial applications. A new formulation is presented for these two objective functions. In this paper, a multiobjective optimization based on a modified nondominated sorting genetic algorithm II (NSGA-II) is utilized for optimal design of PMSM. Pareto-optimal solution is achieved, and optimal variables are obtained. The best solutions are then selected by k-means clustering algorithm for the motor under study.Finally, finite element analysis (FEA) is performed to validate the optimization procedure. The FEA results agree well with the values obtained by the optimization process. KEYWORDS finite element analysis (FEA), nondominated sorting genetic algorithm II (NSGA-II), permanent magnet synchronous motor (PMSM), k-means clustering
Motor sinkron magnet permanen adalah motor efisien yang memiliki aplikasi luas pada industri listrik. Salah satu aplikasi yang menarik dari motor tersebut adalah kendaraan bawah air. Pada kasus ini, perhatian utama adalah pencapaian volume minimum dan torsi tinggi. Optimasi desain dapat meningkatkan kemampuan sehingga mengurangi volume dan meningkatkan kinerja motor. Pada makalah ini, sebuah metode baru untuk desain optimum dari lima fase surface-mount motor sinkron magnet permanen disajikan untuk mencapai kerugian minimum dan volume magnet dengan peningkatan torsi. Optimasi multi-tujuan yang dilakukan dalam mencari dimensio ptimal dari motor dan magnet permanen dilakukan dengan menggunakan particle swarm optimization (PSO). Hasil desain optimasi menghasilkan sebuah motor dengan perbaikan yang tinggi terhadap motor asli. Analisis elemen hingga digunakan untuk memvalidasi keakuratan desain.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.