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In recent years, the magnetic field modulation motors (MFMM) are attracting more and more attentions due to their compact structure and contactless torque transmission function, etc. However, multi-design parameters and output ports make the optimization for the MFMM necessary and difficult. In this paper, an automatic multi-objective optimization of the MFMM based on the advanced differential evolution...
This paper approaches the design using two optimization techniques for a permanent magnet generator used in a micro-wind turbine, with a major importance on the overall performances of the energy conversion system. The proposed micro-wind generator has two armatures and both are rotating in opposite directions.
Recently, the complexity of control systems for autonomous Aerial Manipulators (AMs), i.e. Unmanned Aerial Vehicle (UAV) + Robot Manipulator (RM), is growing faster as per our demand of being able to perform more and more complex tasks. In the present work, we go a step forward adding an optimiser to the actual (nonlinear) control strategy, in order to comply with high-level control demands related...
The large torque ripple of a switched reluctance machine (SRM) caused by commutation and the inherent nonlinear torque-producing nature is a major disadvantage for its widespread application. To mitigate this problem, current profiling for torque ripple minimization has been extensively pursued, however, most current profiling attempts are performed on existing SRM designs and thus will not guarantee...
To improve the efficiency of wind turbines, permanent magnet synchronous generator has been used instead of doubly-fed induction generator. Permanent magnet synchronous generator has higher efficiency than doubly-fed induction generator because it has no winding loss in the rotor, but it has cogging torque which increases the cut-in speed of wind turbines. Cut-in speed is a kind of major design factor...
In this paper, a method of structure optimization for high-speed and heavy-load robot based on dynamic characteristic analysis is presented. Firstly, the flexible coupling dynamics model of the robot is established and modal analysis is carried out. Then the concept of relative sensitivity is presented, by which the optimization variables are determined. According to the operating characteristics...
This paper presents an efficient approach to reduce simulation time over railway driving cycle. Firstly, the torque-speed map of the driving cycle is discretized into different regions that are represented by a single operating point which is called energy center. This first step is not sufficient when a large lumped parameter thermal model is used to calculate the heating of the motor. Thus, a methodology...
In this paper, the main objective is to develop a fast analytical model to be used in optimization process or coupled with other fast analytical models. A reluctance network of DC series machine is developed and shows its accuracy and robustness thanks to the consideration of the armature magnetic reaction (AMR) which is an important phenomenon in high saturated DC motors. This model is validated...
Recently, one of the most important problems is energy shortage. Therefore, it is required high efficiency motors and high accuracy analysis tools. Shape optimization and topology optimization are often used for structural optimization of motors. Authors simplify optimal model by filters because it is often complicated. However, filters cause deterioration of electromagnetic characteristics of motors...
Hydraulic power assist (HPA) vehicle control strategy is always a hotspot in the field of hybrid vehicle research. To improve the HPA vehicle entire fuel consumption efficiency, many researches have been done to make the energy recovery rate higher. Well, according to the engine's fuel consumption curves, the fuel consumption does not proportion to the energy requirement, which means the energy recovery...
This paper describes a computationally efficient optimization technique for permanent magnet machines in electric vehicle (EV) traction applications. It addresses multi-physics machine designs against driving cycles, including inverter-machine system energy efficiency, thermal behaviors and mechanical stress in rotor lamination. To drastically reduce computation time of repeated finite element analysis...
Permanent Magnet Synchronous Motors offer high efficiency and power density besides low assembly effort and hence have been established in a wide market over the past years. Especially buried magnets enable a superior field weakening ability but require an exceptional design effort. Costly Finite Elements computations are inevitable for consideration of the occurring non-linearity and non-trivial...
Recently, one of the problems is high efficiency for the electromagnetic machinery like a motor. This paper presents a new method of shape optimization. The target is flux barriers in the interior permanent magnetic synchronous motor (IPMSM) which is adopted as the benchmark model in IEE of Japan. Authors use the polygon model method with genetic programming (GP) by the two-dimensional finite element...
In this paper, a genetic algorithm (GA) is used to optimize a motor for an automotive application. This motor is a double stator axial permanent-magnet (PM) machine, and the optimization uses a simplified analytical model. The solution obtained with the tool is compared to three-dimensional (3-D) finite-elements method (FEM) to confirm the validity of the model.
Based on the hydrostatic and hydraulic auxiliary braking system of tracked vehicle, the hydraulic pump/motor efficiency model according to the performance analysis was set up, and the optimal working line in which the hydraulic pump/motor working at the highest efficiency level was obtained. And an energy regenerative braking control strategy was proposed which can lead to the optimal matching of...
The reason of steering torque fluctuation and its solution are investigated based on simulation software ADAMS and the practical problem of a specific Geely's vehicle in this paper. The above process is programmed into useful software in combination with the previous experience. Also the automatic optimization of steering system can be achieved in order to eliminate torque fluctuation at the early...
This paper deals with a design method of an external permanent magnet (PM) synchronous motor (PMSM) using concentrated winding (wound around one tooth). The machine is used for the electrical motorization of a small urban hybrid vehicle. Such an application leads to strong design constraints, such as weight limitation, high starting torque, compactness etc. To achieve the design of the machine, an...
A high-efficiency Line Start Permanent Magnet Synchronous Machine (LSPMSM) is designed in the paper to meet efficiency requirements, which can be expected for motors of a class IE4 in a new standard classification. A magnetically linear analytical model of the LSPMSM has been developed, and investigated, to be a main part of a synthesis program. The task to find a best design solution has been defined...
In this paper, we discuss, through a simple example, the impact of two different but equivalent formulations used by standard local optimization solvers (here fmincon of MatLab). We show that even if the two formulations are equivalent in a mathematical sense (no loss of global optima) it is not completely true in a numerical way; using 1000 starting points, we show that it is quite difficult for...
When formulating a problem in mathematical language so as to submit it to an optimization process, different formulations of the problem often lead to different performances of the optimization. Using the example of the design of the simple electromagnetic circuit of a brushless permanent magnet machine, we illustrate how different algebraic manipulations can beneficially influence the optimization...
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