Patents by Inventor Aboubakr SALEM

Aboubakr SALEM 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: 11984826
    Abstract: Reduced computation time for model predictive control (MPC) of a five level dual T-type drive considering the DC link capacitor balancing, the common-mode voltage (CMV) along with torque control of an open-ends induction motor based on determining a reduced set of switching states for the MPC. The reduced set of switching states are determined by considering either CMV reduction (CMVR) or CMV elimination (CMVE). Cost function minimization generates a voltage vector, which is used to produce gating signals for the converter switches. The reduced switching state MPC significantly reduces computation time and improves MPC performance.
    Type: Grant
    Filed: November 2, 2022
    Date of Patent: May 14, 2024
    Assignees: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS, King Abdullah City for Atomic & Rewnewable Energy (K.A. CARE)
    Inventors: Aboubakr Salem, Mohamed Ali Abido, Mohamed Mamdouh
  • Patent number: 11870373
    Abstract: Capacitor balancing of a dual three-level (3L) T-type converter based on silicon carbide (SiC) discrete semiconductors was performed with the converter feeding an open-ends induction motor (OEIM). A model predictive control (MPC) using a two step cost function calculation was developed to balance the DC link capacitors and control the machine torque simultaneously. The number of redundant switching states used was reduced without affecting the operating voltage vectors, which substantially reduced the computational time. A simulation and experimental results are in good agreement.
    Type: Grant
    Filed: March 10, 2020
    Date of Patent: January 9, 2024
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Aboubakr Salem, Mohamed Ali Abido, Mohamed Mamdouh
  • Publication number: 20230299698
    Abstract: Reduced computation time for model predictive control (MPC) of a five level dual T-type drive considering the DC link capacitor balancing, the common-mode voltage (CMV) along with torque control of an open-ends induction motor based on determining a reduced set of switching states for the MPC. The reduced set of switching states are determined by considering either CMV reduction (CMVR) or CMV elimination (CMVE). Cost function minimization generates a voltage vector, which is used to produce gating signals for the converter switches. The reduced switching state MPC significantly reduces computation time and improves MPC performance.
    Type: Application
    Filed: November 2, 2022
    Publication date: September 21, 2023
    Applicants: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS, King Abdullah City for Atomic & Renewable Energy (K.A.CARE)
    Inventors: Aboubakr SALEM, Mohamed Ali ABIDO, Mohamed MAMDOUH
  • Publication number: 20230198436
    Abstract: Capacitor balancing of a dual three-level (3L) T-type converter based on silicon carbide (SiC) discrete semiconductors was performed with the converter feeding an open-ends induction motor (OEIM). A model predictive control (MPC) using a two step cost function calculation was developed to balance the DC link capacitors and control the machine torque simultaneously. The number of redundant switching states used was reduced without affecting the operating voltage vectors, which substantially reduced the computational time. A simulation and experimental results are in good agreement.
    Type: Application
    Filed: March 10, 2020
    Publication date: June 22, 2023
    Applicant: King Fahd University of Petroleum and Minerals
    Inventors: Aboubakr SALEM, Mohamed Ali ABIDO, Mohamed MAMDOUH
  • Patent number: 11515818
    Abstract: Reduced computation time for model predictive control (MPC) of a five level dual T-type drive considering the DC link capacitor balancing, the common-mode voltage (CMV) along with torque control of an open-ends induction motor based on determining a reduced set of switching states for the MPC. The reduced set of switching states are determined by considering either CMV reduction (CMVR) or CMV elimination (CMVE). Cost function minimization generates a voltage vector, which is used to produce gating signals for the converter switches. The reduced switching state MPC significantly reduces computation time and improves MPC performance.
    Type: Grant
    Filed: March 12, 2021
    Date of Patent: November 29, 2022
    Assignees: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS, King Abdullah City for Atomic & Renewable Energy (K.A.CARE)
    Inventors: Aboubakr Salem, Mohamed Ali Abido, Mohamed Mamdouh
  • Publication number: 20220085741
    Abstract: Reduced computation time for model predictive control (MPC) of a five level dual T-type drive considering the DC link capacitor balancing, the common-mode voltage (CMV) along with torque control of an open-ends induction motor based on determining a reduced set of switching states for the MPC. The reduced set of switching states are determined by considering either CMV reduction (CMVR) or CMV elimination (CMVE). Cost function minimization generates a voltage vector, which is used to produce gating signals for the converter switches. The reduced switching state MPC significantly reduces computation time and improves MPC performance.
    Type: Application
    Filed: March 12, 2021
    Publication date: March 17, 2022
    Applicants: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS, King Abdullah City for Atomic & Renewable Energy (K.A.CARE)
    Inventors: Aboubakr SALEM, Mohamed Ali ABIDO, Mohamed MAMDOUH