In-situ induction motor efficiency determination using the genetic algorithm

Efficiency determination of induction motors using multi-objective evolutionary algorithms

“…But since the current does not vary linearly with load, the efficiency cannot be calculated correctly for induction motor [3,11].…”

“…Stray load resistor, R st , is added in series with the rotor circuit for representing stray loss [15]. According to the IEEE test procedure, this loss under full load assuming 1.8% of the output power can be computed for any load point as follows [3]:…”

“…However, it does not meet the required high accuracy for the purpose of energy savings. Charetta et al [1] adopted the equivalent circuit based approach which will eradicate the disadvantages in the Pillay et al's study [3]. Subramanian and Bhuvaneswari [4] presented the application of evolutionary programming (EP) to determine induction motor efficiency.…”

“…Moreover, several methods have been introduced for in-service motor efficient determination using evolutionary algorithms. Pillay et al [3] proposed a new method based on the genetic algorithm. Since optimization process based on a single load point at a time usually converges to different values for successive trials, the average values are taken.…”

Estimation of Three-Phase Induction Motor Equivalent Circuit Parameters from Manufacturer Catalog Data

“…A typical deviation of 3.6 % in efficiency was observed, despite the use of a typical value of rated power factor, given its absence in NEMA standard nameplates. With a similar objective, [13] uses GA to determine four parameter values of SCM-CL based on measurements of current and input power at four load conditions. Values of stray-load losses and ratio of leakage reactances are assumed according to IEEE Std.…”