This paper presents a contribution for detailed comparison between two control strategies for Induction Machine (IM) drives: Direct Field-Oriented control (DFOC) and Direct Torque Control (DTC). The performances of those two control schemes are evaluated and compared by simulation in terms of torque and current ripples, transient response and sensitivity to machine parameters.

Induction Motor (IM) admits a strongly nonlinear dynamic model. It constitutes an important research field for the synthesis of advanced control. The IM is characterized by a simple mechanical construction, better efficiency, low costs and robust model. Different control laws are developed for this type of system such as Field Oriented Control (FOC), Direct Torque Control (DTC), Fuzzy Logic Con...

This paper proposed improvement performance from offline towards online neural network scheme for speed control of induction motor field oriented control based on load disturbance and parameter variation. The neural network is design as 1-3-1 network structure by feedforward architecture to maintain the speed trajectory specified by reference model. Both offline and online networks were trained...

This paper presents an active Fault Tolerant Control (FTC) strategy for induction motor (IM) that ensures Field Oriented Control (FOC) and offset the effect of the sensor faults despite of the load torque disturbance. The proposed approach uses a fuzzy descriptor approach to estimate simultaneously the system state and the sensor fault. The physical model of IM is approximated by the Takagi-Sug...

Induction machine models used for steady-state and transient analysis require machine parameters that are usually considered design parameters or data. The knowledge of induction machine parameters is very important for Indirect Field Oriented Control (IFOC). A mismatched set of parameters will degrade the response of speed and torque control. This paper presents an improvement approach on roto...