Muhanad Dheyaa Hashim Almawlawe

• PhD
• PhD at University of Al-Qadisiyah- Engineering collage

In recent years, arrays have been widely used in many applications, especially those applications that need high guidance, whether in military, medical, or other applications. Arrays are highly oriental, unlike single antennas. In this work, we analyze the effect of the insulating substrate insulation constant on the 2X2 microstrip patch antenna ar...

In photovoltaic (PV) systems, conventional boost converters (CBCs) face limitations at high-duty cycles, including low voltage conversion ratio (VCR), high voltage stress, and reduced efficiency. While magnetic coupling components can enhance VCR, they introduce drawbacks such as reduced power rating and leakage current. To overcome these challenge...

This study presents a novel elliptical microstrip antenna (EMSA) design method for enhanced bandwidth. The proposed EMSA offers versatile polarization control, generating both linear and circular polarization. Wider impedance bandwidths compared to some other patch antennas make it suitable for broadband communication. Its compact size facilitates...

This work seeks to use both traditional control algorithms and advanced optimization algorithms to enhance the performance of a DC-DC converter. The chosen algorithm was Proportional-Integral-Derivative (PID) based on gray wolf optimization (GWO). The PID controller is known for its ease of control and wide range of industrial applications. This ty...

The present study explores the guidance of a robotic arm along a predefined path by implementing an optimal fuzzy fractional order PID controller-based control strategy. This method serves as a means to address the nonlinearity and unpredictability of the robotic manipulator, contingent upon the fuzzy logic controller's specifications and the emplo...

The present work describes one of the control concepts that can overcome the nonlinearity of the buck-boost converter, improves the settling response by using a Fuzzy Logic Controller (FLC) in regulating the output voltage of the Buck-Boost converter and compare the results with a traditional Buck-Boost controller. The objective of this approach is...

This paper applies an artificial intelligence or fuzzy logic strategy to improve the performance of photovoltaic systems with regard to variations of I-V and P-V characteristics resulting from irradiance and temperature variations that in turn create maximum power point (MPPT) variation, resulting in fluctuation of the DC voltage at the input of th...

Controlling a system is a complicated job, especially when we talk about the nonlinearity of the system introduced by the external changes. This paper presents the procedure of designing, analysis, and verification of nonlinear autoregressive moving average controller (NARMA L2) as an artificial intelligence technique to track the output voltage of...

The non-linear behaviour of the Dc-Dc converters which appears mainly because of different causes such as disturbances, aging of materials, source instability which makes control process as a difficult task to overcome, many control techniques are employed such as PID controllers which works under linear operating conditions and fails with non-line...

Conventional energy sources such as petroleum, coal represent a catastrophic global threat to life on earth, one of the alternatives is sustainable energy, in this field lies green resources, sunlight. Promising systems for converting sunlight into electrical energy are Photovoltaic (PV) cells, these systems utilize the Dc-Dc converter as a major p...

The non-linear behaviour of the Dc-Dc converters which appears mainly because of different causes such as disturbances, aging of materials, source instability which makes control process as a difficult task to overcome, many control techniques are employed such as PID controllers which works under linear operating conditions and fails with non-line...

The non-linear behaviour of the Dc-Dc converters which appears mainly because of different causes such as disturbances, aging of materials, source instability which makes control process as a difficult task to overcome, many control techniques are employed such as PID controllers which works under linear operating conditions and fails with non-line...

This paper compares three different techniques that control the output voltage of a DC-DC converter working in continuous conduction mode, the first technique is the proportional-Integral-derivative controller, the second one is the fuzzy logic controller, and finally the digital sliding mode controller. The sensed output voltage of the converter i...

This paper studies the control of the non-linear, time-varying Buck/Buck converter that operates in continuous mode by using the digital sliding mode technology. The main goal is to meet the final objective of achieving acceptable performance and to overcome the system nonlinearity, or in other words, to track the output voltage during load and sou...

This paper deals with the design of digital controller for DC-DC boost converter. This controller is a combination of a generalized minimum variance control and one-step-delayed disturbance estimator. The generalized minimum variance control algorithm design is based on the input/output converter model. It should provide the output voltage stabilit...

The paper deals with design of DC-DC buck-boost converter controlled by the combination of digital sliding mode control and generalized minimum variance control. This approach can also be implemented for different converter topologies operating in the continuous conduction mode. The converter switch is driven by PWM signal, generated by controller...

The paper considers a realization of quasi-sliding mode control for DC–DC boost-type converter on ATmega8 microcontroller. The proposed control law represents a combination of discrete-time sliding mode and generalized minimum variance control techniques. The control design is based on input–output converter model and only the sensed output voltage...

The paper deals with design of DC-DC buck-boost converter controlled by the combination of digital sliding mode control and generalized minimum variance control. This approach can also be implemented for different converter topologies operating in the continuous conduction mode. The converter switch is driven by PWM signal, generated by controller...

This paper presents a new method for designing adaptive neuro-fuzzy inference systems (ANFIS). Improvements are made by introducing specially developed orthogonal functions into the very structure of ANFIS, specifically, into the layer that imitates Sugeno stile defuzzification. These functions are specially tailored for analysis and synthesis of d...

This paper proposes the modeling and simulation technique to analyze and design a Boost converter using generalized minimum variance method with discrete-time quasi-sliding mode to adjust the converter switch through a pulse width modulation (PWM), so as to enhance a stable output voltage. The control objective is to maintain the sensed output volt...

The paper presents the combination of generalized minimum variance control and discrete time quasi-sliding control applied to control a DC-DC boost converter that provides stable output voltage. The control algorithm is realized by measuring only sensed output voltage and comparing it with the reference voltage in order to achieve zero error signal...