Can, Erol

DC motor control with switching methods is an interesting devise with many practical applications. A DC-DC buck-boost converter is one of the methods used to operate the DC motor. Although the-DC buck-boost converter for dc motor applications has been widely studied, they have some handicaps. In this study, the multi-level inverter structure that is different from the methods of DC motor driving is used to drive the DC motor. There will be no passive elements in the proposed circuit although the dc-dc converters have passive elements. So, while the inadequacies for the loads needing high current will be eliminated, the handicaps of the switching can be avoided. Current, torque, and voltage on the load will also be created by Pulse Width Amplitude Method (PWAM). As a different from other Pulse width modulation methods (PWM); the torque, current, and voltage of the motor can be controlled with PWAM in the horizontal and vertical axes. In the design stage; inverter switch structure and operation are given after the method of produced PWMs introduced. The equations of the voltages that will occur in the loads are created according to the working structure of the switches. DC motor structure is also given. In the simulation stage; Continuous and discontinuous modes of the proposed circuit are performed. Then torque of dc motor, armature current and speed are tested according to switching at different frequencies and different modulation indices.

Can, Erol

In this article, the correction of the distorted electrical signal with an adaptive neural fuzzy logic (ANFIS) is discussed due to noise forming at the electrical signal. A sinusoidal signal is widely used both in load supply and in modulation techniques for control and information transport. While the deterioration in a structure of the sinusoidal signal causes energy losses on the power system, it also causes damage to the control signals in the circuit and information transmission signals in telecommunication. Therefore, after considering the structure of the pure reference signal equation, a noise that can occur in the sine structure is included in the reference signal structure. So, an interference signal is formed with the unknown nonlinear process from another noise source for creating the information signal because of an interference signal needs. After an interference signal is generated, the measuring signal is given in the sum of the pure reference signal and the interference signal. For the correction stage of the signals, at inputs of the adaptive fuzzy logic system in the Matlab toolbox, the source signal with noise and the measuring signal values are entered. Then, the experiment is performed via a 3-triangular membership function. When the results are observed, it is seen that the signal which is distorted after the correction operations is very close to the reference signal.