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Efficiency determination of induction motor and its sensitivity analysis towards parameter variation

机译:感应电动机的效率确定及其对参数变化的敏感性分析

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The exact knowledge of some of the induction motor parameters is very important to implement efficient control schemes and to determine the efficiency. These parameters can be obtained by no-load test that is not easily possible for the motors working in process industries where continuous operation is required. Here, particle swarm optimisation is used for in situ efficiency determination of induction motor (5 hp) without performing no-load test. The part load efficiency and power factor can be improved through loss model controller where the motor excitation is adjusted in accordance with load and speed. Induction motor parameters vary with temperature. So, parameters obtained by conducting no load and blocked rotor test may vary with loading of induction motor. LMC is sensitive to parameter variation and its performance is affected when parameters change. An attempt is made to gain a deeper physical insight into the induction motor operation through sensitivity analysis of its equivalent circuit parameters. This study reveals the effect each of the circuit parameters namely R_s, R_r, L_s, L_r and L_m has on torque, speed, flux and DC-link power, respectively.
机译:某些感应电动机参数的确切知识对于实施有效的控制方案和确定效率非常重要。这些参数可以通过空载测试获得,对于需要连续运行的过程工业中的电动机而言,这是不容易实现的。此处,粒子群优化用于在不执行空载测试的情况下就地确定感应电动机(5 hp)的效率。通过损耗模型控制器可以提高部分负载效率和功率因数,其中根据负载和速度调整电机励磁。感应电动机参数随温度变化。因此,通过空载和堵转测试获得的参数可能会随感应电动机的负载而变化。 LMC对参数变化敏感,并且在参数更改时会影响其性能。试图通过对其等效电路参数的灵敏度分析来获得对感应电动机运行更深入的物理了解。这项研究揭示了每个电路参数,即R_s,R_r,L_s,L_r和L_m分别对转矩,速度,磁通和直流母线功率的影响。

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