The switched reluctance motor is a relatively simple electrical machine that is attractive in different applications given its high efficiency characteristics, high torque at low speed, low manufacturing costs, among others. But its structure posses a challenging control problem given its induced periodic torque. That intrinsic ripple torque signifi catly degrades its performance. This work proposes a estrategy of identifi cation and control based on the periodic nature of the movement and the spatial dependence of the variables in this machine. On one hand the identi fication strategy under the algebraic approach is proposed in the spatial-temporal domain, achieving an adequate estimation of the mechanical and electrical parameters in the unsaturated model of the motor. On the other hand, the control strategy takes advantage of the periodic dynamics of the machine and under the aproach of active rejection approach of periodic perturbations in the angular domain high performances are achieved. The proposed strategies are validated by simulation and experimentation in a DSP-based test bed.