Dependencies of Parameter and Load Toque Sensitivities of Electric Motor Outputs on Design Requirements

Abstract

Sensitivity analysis is useful for parameter estimation and decision-making processes. It guides researchers in which input is more effective for controlling an output and which output provides more information to estimate a system parameter. This study is concerned with the sensitivities of the measurable states of electric motors to the model parameters and load torque. Its contribution is investigating the sensitivities’ dependencies on design requirements. It has been revealed that some design requirements such as rated voltage, power, and speed have no effect on most sensitivities to the motor parameters. A similar study on transformers is also included with similar results. The results evoke some optimization choices about adjusting the sensitivities since the search space dimension is reduced. They also yield some educational benefits. Since such a theoretical study requires precise measurements or disturbance-free information, experimental work could not be very useful. Therefore, either mathematical model analysis or simulations have been used to calculate the sensitivities. For the same reason, design requirements are considered from the algorithms determining the model parameters of electric machinery according to desired operating conditions for simulation purposes. Dependencies have been found analytically for dc motors but numerically for ac motors, and transformers.