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Latin-Hypercube-Sampling for two parameters: The normalized range of all parameters is discretized to a finite number of sections. Consequently, (random) section combinations for all parameters are selected.
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Disruptive innovations in electrical machine design optimization are observed. Emerging trends were the motivation for this study. Improvements in Mathematics and Computer Science enable more detailed optimization scenarios which cover evermore aspects of physics. In the past, machine design was equivalent to investigating electromagnetic performan...
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... each is considered, thus analyzing all possible combinations would require 3 3 = 27 evaluations. By contrast, with the Box- Behnken approach less calculations are required, i.e. the combinations defined by red crosses in Fig. 5. Any other result is then calculated based on the obtained results and, e.g., a consequently created surrogate model. Fig. 6 gives an example of Latin-Hypercube-Sampling. The design parameter ranges of x 1 and x 2 are discretized and every parameter section is used once (or multiple times, but usually same frequency is applied). The crosses in the figure denote the (randomly) defined combinations of the sections. Very often, design of experiments is used as ...
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... Unlike the traditional parametric size or shape optimization that started with a well-designed initial geometry, the topology optimization aims to decrease the expertise dependence on the initial structure design and realize the conceptual design and quantitative optimization in the same automatic process. Due to the advances in the methods, topology optimization has been spreading from the mechanical field to structural design optimization in other disciplines, including the design optimization of electrical machines [10], [11], [12]. ...
The knowledge-based parametric design process of the rotor topology of the synchronous reluctance motor (SynRM) requires a tedious parameter definition, selection, and searching process until an optimal design can be obtained. This research proposes a topology optimization approach based on solid isotropic material with penalization method for the SynRM rotor topology design. The aim is to pursue a more intelligent and automatic design process. Specifically, the proposed method aims to generate the SynRM rotor design of high output torque profile. Meanwhile, the mechanical constraints including structural compliance and stress etc. are also considered for promising the structural reliability of the rotor. Considering the high dimensional constraints caused by the multi-physics performances, the augmented Lagrangian method based optimization framework is developed to solve the minimization problem in a compact scheme. To prove the effectiveness of the developed method, simulations and analysis on the topology optimization of SynRMs are performed in this research. Prototyping and experiment are also conducted for verifying the performance of the optimized structure.
... The rest of the paper is as follows related works presented in section 2, the proposed method described in section 3, and the section 4 depicts conclusion of the paper. Bramerdorfer et al., 2018 was inspired by rising trends. Advances in mathematics and computer science allow more sophisticated optimization scenarios that encompass an increasing number of physical elements. ...
The increasing desire to wind power production systems is a result of rising worries about the energy problem and safeguarding the environment. Researchers and engineers urgently need to create new electrical equipment and drives for the production of wind energy since they are essential parts of wind turbines. An in-depth analysis of contemporary electric drives and machines used in the production of wind energy is provided in this study, with a focus on machine topologies, operating theories, performance traits, and control methods. The major characteristics associated with electrical drives and machines are contrasted and summarized, along with their benefits and drawbacks, such as efficiency, torque/power weight, and cost. The trade-offs inherent in the different methodologies and solutions given are emphasized. The main obstacles and problems that electric drives and equipment for the production of wind energy face are highlighted. Additionally, new opportunities and trends are exposed, and the most recent developments are also covered.
... The parameterized geometry is also [21] was primarily constructed for optimizing topology and dimensions. The standard optimization method should include the following four steps: establishing the goals and limitations, specifying the search space, looking at the solution space, and assessing and interpreting the outcomes [22]. Choosing the suitable SRM structure for a specific application, such as an EV application, can be made more simpler and more efficient by taking into account the effects of SRM designs. ...
span lang="EN-US">Numerous researchers as well as the vehicle industry are paying increasing attention to the switching reluctance motor (SRM) drive. Due to its specialized qualities, SRMs are commonly used in electric vehicle applications. The stator/rotor pole arc of an 8/6 SRM is included in this study's investigation of design principles and performance improvement for poles arcs variation. Several limitations for the stator/rotor pole arc angle are derived for the design principles. These concepts are addressed in the finite element (FE) analysis of SRM topological parameters used in conventional and optimization analysis. The stator/rotor polar arc is tuned for performance using a genetic algorithm (GA) in order to maximize torque and efficiency. An ideal solution is chosen when the optimization results are represented. The proposed method can increase the maximum and average torque with (27.24%, 35.98%, 49.42%, 60.14%), (12.59%, 45.19%, 47.87%, 48.92%) for speeds [900, 1500, 2250, 3000 (rpm)] respectively, As shown by the comparison between the conventional and optimal designs. As well as the efficiency is improved (0.35%, 0.61%, 1.08%, 1.28%) for speeds [900, 1500, 2250, 3000 (rpm)] respectively.</span
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... The motor is the power source of the CNC machine tool feed system; in the motor optimization process, the goal is generally to reduce the rotational inertia of the rotor and increase the torque, high torque accuracy, and highspeed performance [102][103][104]. Bramerdorfer et al. [105] summarized the recent advances and new trends in motor design optimization, concluding that the optimal motor design should depend on the specific scenario -there is no universal global optimal design solution. Lei et al. [106] compared three robust optimization design methods commonly used in motor design. ...
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... A possible way is to employ and improve MO. In MO, the design parameters are divided into three groups and the highdimensional problems are converted into several lowdimensional problems [21][22]. By increasing the number of groups and selecting appropriate optimization methods, MO can be extended to ultrahigh-dimensional situations. ...
Electrical machine optimization is normally a high-dimensional nonlinear multi-objective optimization problem. To improve the efficiency, multi-level optimization strategy is currently used, where sensitivity analysis is required for dividing design parameters into different groups. However, the conventional multi-level optimization strategy cannot handle ultra-high-dimensional optimization problems. To attempt this challenge, this paper proposes a sensitivity analysis method with variable weighted intervals to calculate the sensitivity coefficient in the parameter design range. Three improved multi-level optimization strategies based on different optimization algorithms and sequential sensitivity strategy are proposed, analyzed, and compared with the conventional multi-level optimization strategy. Through a case study of a synchronous reluctance machine, it can be seen that the proposed optimization strategies can improve the optimization results and efficiency of ultra-high-dimensional optimization of electrical machines.
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