This thesis describes the sensorless sliding-mode speed tracking control of five-phase interior permanent magnet motor drives taking iron loss into account. First, based on input-output feedback linearization control method and using differential geometry, a nonlinear controller is derived. The controller provides the reference voltage of a five-phase, two-level, SVM-PWM inverter, which feeds the machine. In this case, the goal is speed tracking based on control strategies such as maximum torque per ampere (MTPA) or loss minimization. In addition, it is desirable that the machine operates in field weakening region. Then, considering parametric uncertainties, the drive system is stabilized using sliding mode control and adaptive control theories, separately. Moreover, a sliding mode observer is developed for estimating the motor speed and rotor position. The observer uses the voltages and currents in stationary coordinates. The effectiveness and validity of proposed controllers are verified by computer simulations.