Analytical design and control of switching synchronous motor

Abstract

Summary The performance of synchronous variable reluctance motors is based on the flexibility of the model developed. For example, the finite element method generally provides few effective solutions depending on the desired power requirement. On the other hand, the analytical method makes it possible to combine all the phenomena that take place during the operation of the engine by simple and highly parameterized equations, which leads to the possibility of addressing performance optimization problems solved by direct or stochastic methods. For this reason, we chose the analytical method to model a variable reluctance synchronous motor structure. As a result, an analytical sizing and modeling program is developed. This model is validated by the finite element method. This study led to the analysis of the possibility of the control of the motor according to an innovated algorithm reducing significantly the physical system vibration and improving the system dynamic. The simulation results are original and of a good scientific level and fully validate the study presented in this paper.

Dynamic output feedback control for desired motion tracking on synchronous motors

“…Mathematical models of nonlinear motor dynamics should be then considered for analysis and design of high‐performance stable multivariable control over a large range operating domain. Analytical modeling and its advantages in control development for a switching synchronous motor have been described in Tounsi . Thus, state space control theory based on nonlinear mathematical models has been applied to regulate the velocity of a synchronous motor, where information of the current and velocity state variables, and system parameters could be required to obtain high dynamic performance indicators in wide range operation scenarios.…”

“…Analytical modeling and its advantages in control development for a switching synchronous motor have been described in Tounsi. 10 Thus, state space control theory based on nonlinear mathematical models has been applied to regulate the velocity of a synchronous motor, where information of the current and velocity state variables, and system parameters could be required to obtain high dynamic performance indicators in wide range operation scenarios. In this context, valuable contributions on extended state space control for surface-mounted permanent-magnet synchronous motors have been proposed in previous studies.…”