New Loss Minimization Vector Control for Induction Motors

Using of Particle Swarm Optimization for Loss Minimization of Vector-controlled Induction Motors

This paper presents a new online loss minimization for an induction motor drive. Among the many loss minimization algorithms (LMAs) for an induction motor, a particle swarm optimization (PSO) has the advantages of fast response and high accuracy. However, the performance of the PSO and other optimization algorithms depend on the accuracy of the modeling of the motor drive and losses. In the dev...

Dynamic Model of Induction Motors for Vector Control

Although traditional per-phase equivalent circuit has been widely used in steady-state analysis and design of induction motors, it is not appropriate to predict dynamic performance of the motor. In order to understand and analyze vector control of induction motors, the dynamic model is necessary. Unfortunately, the dynamic model equations are complex and there are many different forms of the mo...

A New Hunting Control Method for Permanent Magnet Hysteresis Motors

Hunting is a flutter associated with the synchronous speed that gives rise to the gyro drifting errors and may cause objectionable time-displacement errors in video head wheel drives and other precision scanning systems. In this paper, dynamic characteristics of permanent Magnet hysteresis motors are presented and hunting is explained. New damping techniques have been developed using optimi...

A Ripple Minimization Strategy for Direct Torque and Flux Control of Induction Motors Using Sliding Modes

We present a direct torque and flux control (DTFC) design for an electric induction motor using a sliding-mode control technique. A distinctive feature of our approach is that, by appropriately parameterizing and implementing the sliding-mode controller, we explicitely take into account the discontinuous nature of the actuator in the design process. As a result, we obtain an improved implementa...

Advanced Control Techniques for Induction Motors