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Motor Controls: a Neural-Network
The Problem:
Motor controller technology exists, yet current approaches each have inhibiting flaws (i.e.. standard lookup tables are time-consuming, occupy large memory usage, and have little control accuracy). While driving a car, different speeds translate into torque, and current leading methods convert torque inefficiently.
The Solution:
Utilize...
Published: 9/28/2022
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Inventor(s): Shuhui Li, Weizhen Dong, Yixiang Gao
Keywords(s):
Category(s): Technology Classifications > Manufacturing, Technology Classifications > Communication
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Artificial Neural Network for Volt/Var Control of Smart Inverters at Grid Edge
The Problem:
As more homes are fitted with solar panels or other renewable energy sources, the network of Distributed Energy Resources (DER) becomes large and more complex. Due to irregularities in the power supplied by these resources, the power grid needs a mechanism to ensure it is always producing a voltage within a pre-specified range.
The Solution:
Researchers...
Published: 9/26/2022
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Inventor(s): Shuhui Li, Malek Ramezani, Yang Xiao
Keywords(s):
Category(s): Technology Classifications > Communication, Technology Classifications > Energy
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Vector Control of Grid-Connected Power Electronic Converter using Artificial Neural Networks
The Problem:
Renewable and electric power system applications generally require a three-phase grid-connected DC/AC voltage-source pulse width modulated (PWM) converter. The PWM converter interfaces between AC and DC systems. Current converter systems are limited in the ability to provide consistent performance in renewable and electric power system...
Published: 8/10/2022
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Inventor(s): Shuhui Li
Keywords(s):
Category(s): Technology Classifications > Energy, Technology Classifications > Communication
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Vector Control of Electric Machines and Drives by using Artificial Neural Networks
The Problem:
Traditional methods of using only vector control methods have shown limitations in adapting to varying power supply demand situations – especially if the PMSM is powered by wind or other natural energy sources. In additional, vector control technologies such as proportional-integral-derivative (PID) have shown inability to adequately...
Published: 8/10/2022
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Inventor(s): Shuhui Li, Michael Fairbank, Xingang Fu, Donald C. Wunsch, Alonso Eduardo
Keywords(s):
Category(s): Technology Classifications > Communication, Technology Classifications > Manufacturing
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Artificial Neural Networks: Control of Standalone DC Microgrids
The Problem:
Microgrids are localized grids that can either be connected to the main grid or operate alone to provide electricity. Because of their ability to function without connection to the main grid, they are becoming increasingly important as a method of strengthening the main grid and providing faster recovery time if the main grid goes down....
Published: 8/10/2022
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Inventor(s): Shuhui Li, Xingang Fu, Weizhen Dong
Keywords(s):
Category(s): Technology Classifications > Energy
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Neural Networks for High Efficient and Reliable IPM Motor Drives and Controls
The Problem:
Traditionally, the IPM motor drive is controlled by combining a flux weakening plus maximum torque per ampere (MTPA) block, a lookup table block, and a current controller block. However, the reference commands generated from currently available methods are inaccurate, which causes reduced motor efficiency. Thus, the neural networks (NN)...
Published: 10/6/2022
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Inventor(s): Shuhui Li
Keywords(s):
Category(s): Technology Classifications > Communication, Technology Classifications > Manufacturing
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Flux Weakening Control Method of Permanent Magnet Synchronous Motor-Based on Artificial Neural Network
The Problem:
Conventionally, an ECU uses standard control logic to match desired motor performance to actual motor performance. However, these conventional controls have limitations especially a higher RPMs of such a motor. A neural network is better able to meet the performance demands at these upper voltage and power limits by functioning as “intelligent”...
Published: 10/6/2022
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Inventor(s): Shuhui Li
Keywords(s):
Category(s): Technology Classifications > Manufacturing, Technology Classifications > Communication
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Real-Time Demand Response Mechanism for Residential Energy Consumers
The Problem:
Energy-efficient thermostats are manufactured for consumer cost savings. Currently, the most successful “smart” thermostats learns the habits of the costumer and programs itself to save the owner the maximum amount of money possible based on their lifestyle instead of focusing on other aspects of the home and its location.
The...
Published: 8/10/2022
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Inventor(s): Shuhui Li
Keywords(s):
Category(s): Technology Classifications > Energy, Technology Classifications > Systems & Services
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