Introduction. In many industries, the promising alternative to the most widely used induction electrical drive is one based on a field regulated reluctance machine (FRRM). Main advantages of this type of motors [2] are: high efficiency factor within a wide speed range; power factor is about 100%; a simple design and low production costs; high manufacturability and reliability; a wider speed control range in a zone of reduced magnetic flux; an easier heat removal. This study is dedicated to motor with independent electromagnetic excitation. It has a passive rotor with tooth structure and a stator with a classic distributed "star" 3-phase winding. Additionally, there is an excitation winding which is supplied from a direct current source. Miscalculations during identification of the parameters of the equivalent circuit of the FRRM can be caused by assumptions used in an applied methodology, as well as by the lack of basic information. During the motor operation, resistance of windings may be changed because of heating, and inertia moment may be deviated through changes of the kinematics. These parametric deviations resulted in differences between estimated and actual parameters of the electrical drive, which, in turn, leads to worsening of control performance. Naturally, the FRRM, as well as other types of alternating current motors, is an interrelated controlled object, substantially dependent on influence of inducted eddy currents. In this case, electrical drive control requires compensation of negative influence of these coordinate disturbances. Solution of the above mentioned problems by the classic methods of the automatic control theory, under the under conditions of uncertainties in a mathematical model, is rather complicated because requires additional algorithms of identification, adaptation or compensation. Analysis of methods for control law optimization showed [6] that solutions can be found based on a concept of reverse task of dynamics in combination with minimization of local functionals of instantaneous values of energies [3][4][5]. The reverse task of dynamics is to identify the control law which would ensure a given quality of control with desired static and dynamic performance of the system. The proposed method is based on an idea of the reversibility of the Lyapunov direct method for the stability analysis. This allows defining control laws which ensure that a closed loop has the predetermined Lyapunov function in form of the instantaneous value of energy. In this case, the specificity of optimization is not obtaining the absolute minimum of the quality functional, as usually used in traditional systems, but rather getting a certain minimal value which would assure a technically allowable dynamic error of the system. This paper is aimed at the identification of respective control laws which would allow a lesser sensitivity to variations of the motor's parameters, as well as the simplicity of realization of the control system, and consequently ensure good control performance of electrical driv...
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.