This inventor holds 1 USPTO granted patent. Top assignee: The University of Alabama. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Malek Ramezani: Innovator in Artificial Neural Network Control Systems
Introduction
Malek Ramezani is a prominent inventor based in Tuscaloosa, Alabama. He has made significant contributions to the field of control systems, particularly through his innovative work on artificial neural networks. His research focuses on enhancing the efficiency and effectiveness of inverter systems in various applications.
Latest Patents
Ramezani holds a patent for an "Artificial neural network control system for autonomous volt/VAR control of inverter in interfaced units." This system utilizes an artificial neural network (ANN) combined with a space vector pulse-width modulation (SVPWM) converter. The ANN is designed with an input layer, multiple hidden layers, and an output layer, allowing it to process various input signals and generate output signals that effectively control the SVPWM converter. The ANN is trained to minimize a cost function and implement optimal control based on adaptive dynamic programming (ADP). Notably, it can manage rated current and PWM saturation constraints, thereby improving volt/VAR control performance for parallel inverters.
Career Highlights
Malek Ramezani is affiliated with the University of Alabama, where he continues to advance his research in control systems. His work has been instrumental in developing technologies that enhance the performance of inverters, particularly in maintaining volt and VAR control at the grid edge. His innovative approach prevents conflicts between inverters, allowing them to operate efficiently in parallel.
Collaborations
Ramezani has collaborated with notable colleagues, including Yang Xiao and Yang Sun. These partnerships have contributed to the advancement of his research and the development of cutting-edge technologies in the field.
Conclusion
Malek Ramezani's contributions to artificial neural network control systems represent a significant advancement in inverter technology. His innovative patent and ongoing research at the University of Alabama highlight his commitment to improving energy management systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile