Multimodel Optimization Based on the Response Surface of the Reduced FEM Simulation Model With Application to a PMSM (original) (raw)
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Multi-objective optimal design of permanent magnet synchronous motor
2016 IEEE International Power Electronics and Motion Control Conference (PEMC), 2016
There is a strong demand for the research of electric vehicles (EVs) in automotive industry, because of an increase concern of the energy depletion and environmental pollution problems caused by oil-fueled automotive. The traction motor drive system is one of the core components of EVs. And a motor with superior dynamic performance and high efficiency could significantly reduce energy consumption and improving riding comfort of EVs. Therefore, in order to achieve high dynamic performance and high efficiency of permanent magnet synchronous motor (PMSM), a multi-objective optimization design method for PMSM based on the artificial bee colony (ABC) algorithm was proposed in this paper. First, based on the magnetic field analytical model of PMSM, the analytical expressions of the key parameters were deduced, namely mechanical time constant and electrical time constant. Second, the efficiency, and electrical and mechanical time constant were defined as optimization objectives. Third, the efficiency and dynamic performance of the original motor and optimized motor were compared applying the finite element analysis. Furthermore, one prototype machine was manufactured according to the results of optimization. The dynamic performance and efficiency of the prototype had been tested. The experiments show confident results that the efficiency increased about 1%, the mechanical time constant reduced to 31.4% of initial value.
Modelling and multiobjective optimization analysis of a permanent magnet synchronous motor design
An alternative to traditional low-speed/high-torque drive systems, which are currently used in industry, could be the use of a permanent magnet synchronous motor directly coupled to the load and running at low speed, instead of the induction motor along with its mechanical transmission parts. The paper—in this context—deals with the analytical design procedure, optimization, and evaluation of such a motor (5 kW/50 rpm) and focuses on 2 topologies, ie, with inner and outer rotor. Finite element method designs of the permanent magnet machines are implemented as solutions of a complex optimization problem and several goals (multiobjectives) are considered (ie, machine weight minimization or efficiency maximization) with respect to relevant constraints. Three optimization methods are adopted and applied and a weighted cost function is proposed. The effectiveness of our problem design formulation approach and the use of these methods, in finding alternative and competitive permanent magnet synchronous motor designs, are also evaluated. The results reveal satisfactory design solutions and present acceptable performance. Moreover, by means of simulations, the application of several commercially available ferromagnetic materials for the motors' stator and rotor cores is performed. Last but not least, the effect of pole-arc per pole-pitch ratio along with the magnets length variation is also investigated. KEYWORDS computer aided design, finite element method, modelling and optimization, permanent magnet synchronous motors
Multiobjective optimal design of saturated surface‐mounted permanent magnet synchronous motors
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2019
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 1 | INTRODUCTION Permanent magnet synchronous motors (PMSMs) are preferable and efficient choice in high-quality applications. PMSMs have an important role in specific industrial applications such as electric vehicles (EVs), space crafts, and marine explorer. Compact structure and high efficiency are the main superiority of such motors. Design optimization would enhance the performance of PMSMs furthermore. Different optimization tasks have been performed for optimal design of PMSMs with different attitudes. In the following, optimization researches on the optimal design of PMSMs are surveyed. Optimization problems are categorized into different divisions, eg, single-objective or multiobjective optimization, meta-heuristic or heuristic optimization methods, and different methods of modeling the PM motor. For example, design optimization of high torque density PM motor is presented in which the slot leakage is considered in the modeling of the PM motor. 1 In Karnavas et al, 2 a multiobjective design optimization with the aim of machine weight minimization and efficiency maximization for PMSM is presented. An interior permanent magnet (IPM) synchronous motor is designed and optimized to be used in hybrid hydraulic excavator. 3 In other research, different artificial intelligence methods are used to improve the efficiency of the PMSM. 4 In Parasiliti et al, 5 authors presented a finite element-based multiobjective optimization technique, which is applied to interior PMSM. The optimization procedure is performed to design two interior PMSMs. Objective functions of the research in Parasiliti et al 5 are minimization of weight and maximization of output power with wide constant-power region operation. Tsampouris et al 6 present geometry optimization of PMSM in which a comparison between the full and
IEEE Transactions on Industry Applications, 2013
This paper systematically covers the significant developments of the last decade, including surrogate modeling of electrical machines and direct and stochastic search algorithms for both single-and multi-objective design optimization problems. The specific challenges and the dedicated algorithms for electric machine design are discussed, followed by benchmark studies comparing response surface (RS) and differential evolution (DE) algorithms on a permanent-magnet-synchronous-motor design with five independent variables and a strong nonlinear multiobjective Pareto front and on a function with eleven independent variables. The results show that RS and DE are comparable when the optimization employs only a small number of candidate designs and DE performs better when more candidates are considered.
Shape Optimization Of Permanent Magnet Motors Using The Reduced Basis Technique
2009
In this paper, a tooth shape optimization method for cogging torque reduction in Permanent Magnet (PM) motors is developed by using the Reduced Basis Technique (RBT) coupled by Finite Element Analysis (FEA) and Design of Experiments (DOE) methods. The primary objective of the method is to reduce the enormous number of design variables required to define the tooth shape. RBT is a weighted combination of several basis shapes. The aim of the method is to find the best combination using the weights for each tooth shape as the design variables. A multi-level design process is developed to find suitable basis shapes or trial shapes at each level that can be used in the reduced basis technique. Each level is treated as a separated optimization problem until the required objective – minimum cogging torque – is achieved. The process is started with geometrically simple basis shapes that are defined by their shape co-ordinates. The experimental design of Taguchi method is used to build the ap...
Design Procedure for High-Speed PM Motors Aided by Optimization Algorithms
Machines
This paper considers the electromagnetic and structural co-design of superficial permanent magnet synchronous machines for high-speed applications, with the aid of a Pareto optimization procedure. The aim of this work is to present a design procedure for the afore-mentioned machines that relies on the combined used of optimization algorithms and finite element analysis. The proposed approach allows easy analysis of the results and a lowering of the computational burden. The proposed design method is presented through a practical example starting from the specifications of an aeronautical actuator. The design procedure is based on static finite element simulations for electromagnetic analysis and on analytical formulas for structural design. The final results are validated through detailed transient finite element analysis to verify both electromagnetic and structural performance. The step-by-step presentation of the proposed design methodology allows the reader to easily adapt it to...
IEEE Transactions on Magnetics, 2000
simultaneously. A classic multiobjective function is formed as a combination of these single objectives. A dynamic physics-based phase variable modeling approach is used to indirectly couple the motor geometry in the finite element domain to the drive circuit in a simulink environment. The physical behavior of motor is calculated by nonlinear transient FE analysis with motion. A fast hybrid genetic-particle swarm optimization process is developed for shape optimization of the motor. The results before and after optimization show the expected performance improvements while reducing magnet material and copper size.
Characterization and optimization of a permanent magnet synchronous machine
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2009
Purpose -The first purpose of this paper is to identify -by an inverse problem -the unknown material characteristics in a permanent magnet synchronous machine in order to obtain a numerical model that is a realistic representation of the machine. The second purpose is to optimize the machine geometrically -using the accurate numerical model -for a maximal torque to losses ratio. Using the optimized geometry, a new machine can be manufactured that is more efficient than the original. Design/methodology/approach -A 2D finite element model of the machine is built, using a nonlinear material characteristic that contains three parameters. The parameters are identified by an inverse problem, starting from torque measurements. The validation is based on local BH-measurements on the stator iron. Findings -Geometrical parameters of the motor are optimized at small load (low-stator currents) and at full load (high-stator currents). If the optimization is carried out for a small load, the stator teeth are chosen wider in order to reduce iron loss. An optimization at full load results in a larger copper section so that the copper loss is reduced.
Design Improvement of Permanent Magnet Motor Using Single- and Multi-Objective Approaches
Power Electronics and Drives, 2023
Energy efficiency has become a critical concern worldwide, and strategies to improve energy efficiency are being implemented across various aspects of society and industry. Electric motors are significant consumers of electrical energy, making them a prime target for efficiency-improvement efforts. Researchers have dedicated substantial efforts to enhancing the efficiency of electrical machines, and this has been a focus of study for the past few decades. The optimal design of electrical machines can be achieved by optimising various objective functions. These functions may include efficiency, torque, power factor, output torque, cogging torque, volume, mass, and total cost. In some cases, a combination of multiple objective functions is used, resulting in multi-objective or manyobjective optimisation approaches. This allows for a more comprehensive assessment of machine performance. The optimisation process for electrical machines involves defining a vector of variables related to dimensions, current densities, flux densities, etc. These optimisations must also adhere to a set of constraints related to 34
Pole shape optimization of permanent magnet synchronous motors using the reduced basis technique
IRANIAN JOURNAL OF ELECTRICAL AND …, 2010
In the present work, an integrated method of pole shape design optimization for reduction of torque pulsation components in permanent magnet synchronous motors is developed. A progressive design process is presented to find feasible optimal shapes. This method is applied on the pole shape optimization of two prototype permanent magnet synchronous motors, i.e., 4-poles/6-slots and 4-poles-12slots.