Patents by Inventor Meer Abdul Mateen Khan

Meer Abdul Mateen Khan 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: 11879434
    Abstract: A wind turbine control apparatus, method and non-transitory computer-readable medium are disclosed. The wind turbine control apparatus comprises a generator connected to a wind turbine with a drive train. The drive train comprises a rotor, a low speed shaft, a gear box, a high speed shaft, and a controller module. The controller module is configured to obtain a maximum power within a large range of varying wind velocities by operating the rotor at a neural network determined optimal angular speed for the current wind velocity.
    Type: Grant
    Filed: January 24, 2023
    Date of Patent: January 23, 2024
    Assignee: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Mohammad Kamal Hossain, Meer Abdul Mateen Khan
  • Publication number: 20230383725
    Abstract: A wind turbine control apparatus, method and non-transitory computer-readable medium are disclosed. The wind turbine control apparatus comprises a generator connected to a wind turbine with a drive train. The drive train comprises a rotor, a low speed shaft, a gear box, a high speed shaft, and a controller module. The controller module is configured to obtain a maximum power within a large range of varying wind velocities by operating the rotor at a neural network determined optimal angular speed for the current wind velocity.
    Type: Application
    Filed: January 24, 2023
    Publication date: November 30, 2023
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Mohammad Kamal HOSSAIN, Meer Abdul Mateen KHAN
  • Patent number: 11585322
    Abstract: A wind turbine control apparatus, method and non-transitory computer-readable medium are disclosed. The wind turbine control apparatus comprises a generator connected to a wind turbine with a drive train. The drive train comprises a rotor, a low speed shaft, a gear box, a high speed shaft, and a controller module. The controller module is configured to obtain a maximum power within a large range of varying wind velocities by operating the rotor at a neural network determined optimal angular speed for the current wind velocity.
    Type: Grant
    Filed: May 26, 2022
    Date of Patent: February 21, 2023
    Assignee: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Mohammad Kamal Hossain, Meer Abdul Mateen Khan