Patents by Inventor Mohamed MAMDOUH
Mohamed MAMDOUH 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).
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Patent number: 11984826Abstract: 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: GrantFiled: November 2, 2022Date of Patent: May 14, 2024Assignees: 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
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Patent number: 11894825Abstract: This disclosure is directed to filtering in a transceiver of an electronic device. In some instances, active analog filters may be deployed in the transceiver of the electronic device to achieve greater linearity and/or reduce noise in the transceiver. However, as signal bandwidth grows increasingly larger, an active analog filter may consume excessive power. To remedy the excessive power consumption, a passive ladder LC filter may be used. Some LC ladder filters may include a limited quality factor (Q), which may lead to undesirable effects in the transceiver (e.g., voltage droop). To address these undesirable effects, certain components in the LC ladder filter may be relocated from an input port to a feedback chain of an amplifier coupled to the LC ladder filter. The new structure may enable components in the LC ladder filter to be tuned without causing additional voltage droop across the LC ladder filter.Type: GrantFiled: June 14, 2022Date of Patent: February 6, 2024Assignee: Apple Inc.Inventors: Xi Yao, Hao Xu, Pengbei Zhang, Aly Mohamed Mamdouh Ismail
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Patent number: 11870373Abstract: 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: GrantFiled: March 10, 2020Date of Patent: January 9, 2024Assignee: King Fahd University of Petroleum and MineralsInventors: Aboubakr Salem, Mohamed Ali Abido, Mohamed Mamdouh
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Publication number: 20230402986Abstract: This disclosure is directed to filtering in a transceiver of an electronic device. In some instances, active analog filters may be deployed in the transceiver of the electronic device to achieve greater linearity and/or reduce noise in the transceiver. However, as signal bandwidth grows increasingly larger, an active analog filter may consume excessive power. To remedy the excessive power consumption, a passive ladder LC filter may be used. Some LC ladder filters may include a limited quality factor (Q), which may lead to undesirable effects in the transceiver (e.g., voltage droop). To address these undesirable effects, certain components in the LC ladder filter may be relocated from an input port to a feedback chain of an amplifier coupled to the LC ladder filter. The new structure may enable components in the LC ladder filter to be tuned without causing additional voltage droop across the LC ladder filter.Type: ApplicationFiled: June 14, 2022Publication date: December 14, 2023Inventors: Xi Yao, Hao Xu, Pengbei Zhang, Aly Mohamed Mamdouh Ismail
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Publication number: 20230299698Abstract: 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: ApplicationFiled: November 2, 2022Publication date: September 21, 2023Applicants: 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
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PREDICTIVE TORQUE CONTROL AND CAPACITOR BALANCING OF A SILICONCARBIDE BASED DUAL T-TYPE DRIVE SYSTEM
Publication number: 20230198436Abstract: 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: ApplicationFiled: March 10, 2020Publication date: June 22, 2023Applicant: King Fahd University of Petroleum and MineralsInventors: Aboubakr SALEM, Mohamed Ali ABIDO, Mohamed MAMDOUH -
Patent number: 11515818Abstract: 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: GrantFiled: March 12, 2021Date of Patent: November 29, 2022Assignees: 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
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Publication number: 20220085741Abstract: 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: ApplicationFiled: March 12, 2021Publication date: March 17, 2022Applicants: 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
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Patent number: 11119457Abstract: A method for controlling an electric drive system and the electric drive system. The method includes: measuring an external variable; estimating a control variable for a current sampling step with a mathematical model; predicting a control variable for a future sampling step for each of a plurality of candidate voltage vectors selected for the future sampling step; and calculating a cost function, and identifying a primary voltage vector giving a minimum, where the cost function is defined as a deviation between the predicted stator flux and the reference stator flux. The method further includes: predefining a lookup table giving a correlation between a nonzero voltage vector and a voltage vector group including four candidate voltage vectors, where the plurality of candidate voltage vectors is selected referring the lookup table. The electric drive system includes motor, power converter, and controller, and configured to perform the method.Type: GrantFiled: June 26, 2019Date of Patent: September 14, 2021Assignee: King Fahd University of Petroleum and MineralsInventors: Mohamed Mamdouh El Shormbably, Mohamed Ali Abido
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Publication number: 20200409320Abstract: A method for controlling an electric drive system and the electric drive system. The method includes: measuring an external variable; estimating a control variable for a current sampling step with a mathematical model; predicting a control variable for a future sampling step for each of a plurality of candidate voltage vectors selected for the future sampling step; and calculating a cost function, and identifying a primary voltage vector giving a minimum, where the cost function is defined as a deviation between the predicted stator flux and the reference stator flux. The method further includes: predefining a lookup table giving a correlation between a nonzero voltage vector and a voltage vector group including four candidate voltage vectors, where the plurality of candidate voltage vectors is selected referring the lookup table. The electric drive system includes motor, power converter, and controller, and configured to perform the method.Type: ApplicationFiled: June 26, 2019Publication date: December 31, 2020Applicant: King Fahd University of Petroleum and MineralsInventors: Mohamed Mamdouh EL SHORMBABLY, Mohamed Ali ABIDO