Patents by Inventor Naji A. Al-Musabi

Naji A. Al-Musabi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8626350
    Abstract: The sliding mode AGC controller and method includes Genetic Algorithms (GA) to find the optimal feedback gains and switching vector values of the controller. In order to provide enhancement of the system dynamical performance and a reduction in the SMC chattering, two objective functions are provided in the optimization process. The tested two-area interconnected AGC model incorporates nonlinearities in terms of Generation Rate Constraint (GRC) and a limiter on the integral control value. Comparison with previous AGC methods reported in the literature validates the significance of the sliding mode AGC controller.
    Type: Grant
    Filed: April 14, 2010
    Date of Patent: January 7, 2014
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Zakariya M. Al-Hamouz, Hussain N. Al-Duwaish, Naji A. Al-Musabi
  • Publication number: 20110257800
    Abstract: The particle swarm optimizing sliding mode controller is applied to an interconnected Automatic Generation Control (AGC) model. The system formulates the SMC design as an optimization problem and utilizes a Particle Swarm Optimization (PSO) algorithm to find the optimal feedback gains and switching vector values of the controller. Two performance functions are used in the optimization process to demonstrate the system dynamical performance and SMC chattering reduction. The tested two-area interconnected AGC model incorporates nonlinearities in terms of Generation Rate Constraint (GRC) and a limiter on the integral control value.
    Type: Application
    Filed: April 14, 2010
    Publication date: October 20, 2011
    Inventors: Zakariya Al-Hamouz, Hussain N. Al-Duwaish, Naji A. Al-Musabi
  • Publication number: 20110257799
    Abstract: The sliding mode AGC controller and method includes Genetic Algorithms (GA) to find the optimal feedback gains and switching vector values of the controller. In order to provide enhancement of the system dynamical performance and a reduction in the SMC chattering, two objective functions are provided in the optimization process. The tested two-area interconnected AGC model incorporates nonlinearities in terms of Generation Rate Constraint (GRC) and a limiter on the integral control value. Comparison with previous AGC methods reported in the literature validates the significance of the sliding mode AGC controller.
    Type: Application
    Filed: April 14, 2010
    Publication date: October 20, 2011
    Inventors: Zakariya M. Al-Hamouz, Hussain N. Al-Duwaish, Naji A. Al-Musabi