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Life Model for PWM Controlled Induction Motor Insulation using Design of Experiments Method

机译：实验设计的PWM控制感应电动机绝缘寿命模型

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摘要

According to numerous industrial surveys, the failure rate of stator insulation is much higher for Pulse Width Modulated (PWM) controlled induction motors than for the motors with sinusoidal voltage supply. Voltage spikes, high slew rate of spikes, and repetition and harmonics of PWM voltages generate higher electrical and thermal stresses in motor insulation that result into premature failure. In this paper, the Design of Experiments (DoE) method has been proposed to estimate the life of PWM controlled induction motor insulation. The insulation stress under PWM voltages is quantified by three factors viz. spike magnitude, spike frequency and voltage harmonics factor. These stress factors are experimentally computed for PWM controlled induction motor at different switching frequencies. Keeping these stress factors as input, a fuzzy logic model for insulation life is subsequently developed. This model is fine tuned to match the results obtained through insulation aging test with PWM voltages. The fuzzy logic data is analyzed by statistical techniques such as, ANOVA and Standardized Pareto Chart. A full factorial Design of Experiments technique is then applied to the fuzzy logic results to get the first order model relating the insulation life of induction motor with the stress factors. This model can be directly used for insulation life estimation of PWM controlled induction motors.
机译：根据众多行业调查，脉宽调制（PWM）控制的感应电动机的定子绝缘故障率要比带有正弦电压电源的电动机高得多。电压尖峰，尖峰的高摆率以及PWM电压的重复和谐波会在电机绝缘中产生更高的电气和热应力，从而导致过早失效。本文提出了实验设计（DoE）方法来估计PWM控制的感应电动机绝缘的寿命。 PWM电压下的绝缘应力由三个因子viz量化。尖峰幅度，尖峰频率和电压谐波因子。这些应力因子是在不同开关频率下针对PWM控制的感应电动机进行实验计算的。将这些应力因素作为输入，随后开发了绝缘寿命的模糊逻辑模型。该模型经过微调，以匹配通过绝缘老化测试获得的结果与PWM电压。通过统计技术（例如ANOVA和标准化帕累托图）分析模糊逻辑数据。然后，将完整的因子设计实验技术应用于模糊逻辑结果，以获得将感应电动机的绝缘寿命与应力因子相关联的一阶模型。该模型可直接用于PWM控制感应电动机的绝缘寿命估算。

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