MPC Based Position Sensorless SRM Drive for Light Electric Vehicles With Optimized Voltage Vectors and Reduced Torque Ripple

In this work, an application-oriented control of SRM (Switched Reluctance Motor) drive is presented. SRM drive is implemented with an MPC (Model Predictive Control) based algorithm with modified sector division, which is implemented for application of light electric vehicles (LEVs). With a help of sector division, voltage vectors are optimized at each sampling and computational burden is reduced. Rotor position signals are utilized for division of sector. Rotor position is estimated through discrete symmetrical rotor position detection instants. Phase flux is compared with flux stored in magnetic characteristics of machine. Comparison provides a symmetrical set of rotor position instants. Limitation of phase current is achieved through voltage vector selection scheme, during overload conditions. Drive is controlled in regenerative braking mode, to recover kinetic energy stored in motional part of system. Extraction of brake energy enhances efficiency and improves vehicle range in a practical case scenario. Switching scheme in motoring and braking conditions, is explained in detail in subsequent sections. Experimental validation of algorithm is performed on a 1.25 kW, 12/8, 3-phase SRM.