The paper focuses on some aspects of control and estimation in electric drives with inverter output filters. The filters are used in some industrial drives with pulse width modulated (PWM) inverters. They smoothes the motor supply voltage and current so nearly sinusoidal shapes are obtained. The filters can also limit the bearing current and shaft voltages. Because of the voltage drop and phase...

Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial applications. In such controllers, increasing the prediction horizon results in better selection of the optimal control signal sequence. On the other hand, increasing the prediction horizon increase the computational time of the optimization process which make it impossible to be imple...

Typical production objectives in distillation process require the delivery of products whose compositions meet certain specifications. The distillation control system, therefore, must hold product compositions as near the set points as possible in faces of upset. In this project, inferential model predictive control, that utilizes an artificial neural network estimator and model predictive cont...

In the presented paper, a sensorless driver circuit is designed, constructed and tested to control two types of three-phase Switched Reluctance Motor (SRM). The presented control algorithm has three steps. In the first step, the SRM is controlled by an open-loop method. In the second step, mathematical model of the SRM phase, motor parameters and flux-current-rotor position relation are used in...

Permanent-magnet brushless dc motor (PMBLDCM) is more suitable for electric vehicle (EV) with higher torque and driving performance. A loss modeling of PMBLDCM proper analysis can improve the control stability at different road surface conditions. However, iron not minimal enough to be ignored during high-speed operation drives. This article proposes a disturbance observer-based sensorless driv...