In this study an Adaptive Neuro Fuzzy Inference System is introduced to select the switching states of Matrix Converters. Matrix converters have received more attention in research and industrial application due its advantages like four quadrant operation, sinusoidal input and output waveforms, controllable displacement factor, less number of switches etc., Matrix Converters are efficient in sp...

This paper presents to obtain the state estimations in low speed induction motor using Sensorless Constant Switching Frequency Controller (CSFC) technique. The state estimations referred to flux and torque. Therefore the CSFC enabling Induction motor with Direct Torque Control is built using the MATLAB/SIMULINK. The switching frequency is maintained constant in order to improve its state estima...

Controller of hybrid excavator power system was designed with control target was to improve diesel engine fuel efficiency and decrease shaft rotate speed fluctuation. Controller input parameters were set as hydraulic pump required torque, hydraulic pump rotate speed and battery SOC. Controller output parameters were set as diesel engine output torque and motor torque. Diesel engine output torqu...

This paper presents an improved Direct Torque Control (DTC) based on fuzzy logic technique. The major problem that is usually associated with DTC drive is the high torque ripple. To overcome this problem a torque hysteresis band with variable amplitude is proposed based on fuzzy logic. The fuzzy proposed controller is shown to be able to reducing the torque and flux ripples and to improve perfo...

This paper describes an Intelligent Bio-inspired optimization technique to minimize the square of errors in the parameters of an induction motor. The torque ripples and speed error would degrade the performance of the machine. In order to enhance the performance parameters of cage rotor type induction motor, the speed error and torque ripples should be minimized. This can be achieved by tuning ...

Since the magnetizing characteristics are highly non-linear in nature, the torque ripple is high in the Switched Reluctance Motor (SRM). The torque ripple can be minimized by using a novel control technique called Direct Torque Control (DTC). In DTC technique, torque is controlled directly through control of magnitude of the flux-linkage and change in speed of the stator flux vector. The flux a...

In this research, the effects of parameters include tool rotational and traverse speeds were investigated on heat generation and material flow during friction stir welding of Ti-6Al-4V alloy with computational fluid dynamics (CFD) method. Simulation results showed that with increasing of tool rotational and decreasing tool traverse speed, the more frictional heat generates which causes formatio...

In this paper, the design and implementation of adaptive speed controller for a sensorless synchronous reluctance motor (SynRM) drive system is proposed. A combination of well-known adaptive input-output feedback linearization (AIOFL) and adaptive backstepping (ABS) techniques are used for speed tracking control of SynRM. The AIOFL controller is capable of estimating motor two-axis inductances ...

In this research, the effects of parameters include tool rotational and traverse speeds were investigated on heat generation and material flow during friction stir welding of Ti-6Al-4V alloy with computational fluid dynamics (CFD) method. Simulation results showed that with increasing of tool rotational and decreasing tool traverse speed, the more frictional heat generates which causes formatio...

In this paper, an adaptive nonlinear controller is designed for rotor Surface Permanent Magnet Synchronous Motor (SPMSM) drive on the basis of Input-Output Feedback Control (IOFC), and Recursive Least Square (RLS) method. The RLS estimator detects the motor electromechanical parameters, including the motor iron loss resistance online. Moreover, a Sliding-Mode (SM) observer is developed for onli...