PMDC coreless micro-motor parameters estimation through Grey Wolf Optimizer

Compared to conventional iron-core brush-type dc motors, the coreless types have no iron losses, low friction, and acceptable thermal dissipation, which make them extremely efficient. The design of their low-inertia rotor is the key to rapid acceleration and fast reaction time characteristics. In addition, their linear behavior fit well with simple drive circuits. A sub-category, namely coreless micro-motor (CMM), is especially considered in low-power equipment, as well as many medical and industrial precision tools. For an analytical control system design and optimization though, their precise model used in the control system is often needed. In this case, the values for reference of the motor parameters should be estimated accurately, regardless the given motor specifications provided by the motor manufacturer. In this context, the application of a newly introduced meta-heuristic optimization method called “Grey Wolf Optimizer” (GWO) is studied here. The effectiveness of the method in estimating accurately the PMDC CMM parameters by using speed step responses only, is then evaluated. The obtained results of the applied method reveal very satisfactory performance when compared with those of another similar meta-heuristic technique.