The authors present a methodology for the calculation and optimisation of regulation laws that apply to electronically commutated synchronous motors with predefined characteristics. It is shown that the synchronous electronically commutated motors can provide predefined characteristics with the maintenance of high energy performance by simultaneously regulating supply voltage, excitation current and load angle.
The authors consider several tens of rotor tooth and slot profiles for the inductor electric machine in order to gain the maximum EMF of the armature winding at the minimum of highest harmonics, owing to which the specific power and efficiency of the machine can be raised.
The research considers usage of analytical methodology and finite element method (FEM), where the latter includes magnetic saturation and actual magnetic field line distribution.
The main data of both calculations are summarised in the results of the study. From the obtained results, it can be concluded that, in most cases, the analytical method is not applicable to the qualitative determination of the highest harmonic content of the EMF, since the plane of the magnetic field lines does not close in parallel and their distribution is directly related to the configuration of the teeth zone.
The possibility of using the inductor generators for direct connection to the grid is demonstrated in the study.
The paper describes the design and control method of the synchronous reluctance machine with improved efficiency compared to traction induction motor for electric vehicle application.
Magnetic field finite element modelling is used in the design process. The paper presents load characteristics calculation method for the design process, considering the cross magnetic saturation effect. Control algorithm with constant d-axis current control method is developed in the research. The prototype of the machine is constructed and tested.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.