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Improved dimensionless nomograms approach in the electric drives and power electronics courses

机译:电气驱动和电力电子课程中改进的无量纲列线图方法

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Parameter estimation of the nonlinear electronic schemes, including inductances, capacitances, resistances, and switches represents a nontrivial problem in the "power electronics" and "electrical drives" courses. Difficulties could be observed during solutions of electrical circuits, which describe the behavior of electric motors in drives, and various electronic appliances are being used in power electronics. This situation is a result of complicated analytical approaches aiming to solve nonlinear ordinary differential equations describing the occurring processes. A typical student has a significant problem in attaining the analytical results. Various methods of linearization nonlinear elements permitting to obtain roughly analytical solutions and simplified solution were applied over the past. Nowadays, coarsely obtained results are not acceptable as a rule. As a result, smart simulation based on PSIM, MATLAB Simulink, and WOLFRAM Mathematica giving excellent opportunity for accurate answers are recommended. All software programs represent undoubtedly important and extremely accurate approaches. However, only numerical results are provided and are not capable of solution's generalization. It seems that in the Power Electronics and Electrical Drives courses, a wide submission could obtain methods of numerical nomograms with dimensionless representation of input-output parameters. Dimensionless approach allows significant diminishing of a number of decisive parameters and simplifies calculation, whereas keeping acceptable precision of results, as well as a possibility of outcome's generalization and representation variables trends in a wide range of input parameters. The likely objects of analysis may be, for example, output characteristics of DC motors fed by controllable and uncontrollable n-phase rectifiers, resistive rectifier losses and motor's efficiency, average and root mean square currents or voltages in electronic circuits, total harmonic distortion, and others. Long-time practice of these approaches approved their usefulness, productivity, and helpfulness.
机译:在“电力电子”和“电驱动”课程中,包括电感,电容,电阻和开关在内的非线性电子方案的参数估计代表着一个重要的问题。在解决电路过程中可能会遇到困难,这些问题描述了驱动器中电动机的行为,并且各种电子设备正在电力电子领域中使用。这种情况是复杂分析方法的结果,这些分析方法旨在解决描述发生过程的非线性常微分方程。典型的学生在获得分析结果方面存在重大问题。过去,已经使用了各种方法来线性化非线性元素,从而可以大致获得解析解和简化解。如今,通常不能接受粗略的结果。因此,建议基于PSIM,MATLAB Simulink和WOLFRAM Mathematica的智能仿真为准确答案提供了极好的机会。所有软件程序无疑代表着非常重要和极其准确的方法。但是,仅提供数值结果,不能进行求解的概括。似乎在电力电子和电力驱动课程中,可以提交大量的数字诺模图方法,用无量纲表示输入输出参数。无量纲方法可以显着减少许多决定性参数并简化计算,同时保持可接受的结果精度,并在广泛的输入参数范围内保持结果的概括性和表示变量趋势。分析的可能对象可能是,例如,由可控和不可控n相整流器馈电的直流电动机的输出特性,电阻式整流器损耗和电动机的效率,电子电路中的均方根电流或均方根电流或电压,总谐波失真以及其他。这些方法的长期实践证明了它们的有用性,生产力和帮助性。

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