Feedforward

A step forward for motor torque controllers: In order to reduce oscillations and oversets, a speed loop pseudo derivative feed forward controller is proposed

A proposed speed loop pseudo derivative feedforward (PDFF) controller-based direct torque controller for a PMSM drive reduces oscillations and overshoots. Simulation results show the dynamic performance of the proposed system is superior to PI controllers, with less overrun and improved stability.

SourceCES Transactions on Electrical Machines and Systems·JournalCES Transactions on Electrical Machines and Systems·TypeComputational simulation/modeling·DateJun 19, 2024

New control technique could improve accuracy of industrial robots

Researchers have developed a new feedforward method that improves on conventional techniques by obtaining parameters from an uncertain environment. This approach achieved better performance than the traditional method in simulations, and is set to be tried out on industrial robots and machine vision.

SourceChinese Association of Automation·JournalIEEE/CAA Journal of Automatica Sinica·DateJun 10, 2020

Why, sometimes, we don't see what we actually saw

Researchers found that the brain's inability to process information quickly enough can lead to a bottleneck in visual processing, resulting in missed stimuli. By reducing interference between feedforward and feedback signals, they observed improved detection and categorization performance.

SourceGeorgetown University Medical Center·JournalJournal of Vision·DateOct 23, 2019

Rigol DP832 Triple-Output Bench Power Supply

Rigol DP832 Triple-Output Bench Power Supply powers sensors, microcontrollers, and test circuits with programmable rails and stable outputs.

How does the brain make perceptual predictions over time?

Neuroscientist David Heeger proposes a new theory that explains how the brain uses prediction and inference to make decisions. The brain's neural network can process sensory input in a feedforward manner, but also runs in a feedback mode to generate predictions, and combines both modes for optimal performance.

SourceNew York University·JournalProceedings of the National Academy of Sciences·DateFeb 6, 2017

Finding a better way to quiet noisy environments

A new mathematical algorithm designed to improve noise cancellation technologies can reduce unwanted helicopter and cabin noise by 40 decibels or more. The 'feedforward' active-noise control works by generating anti-noise signals that adapt to acoustic coupling, solving a long-standing problem in the field.

SourceUniversity of California - San Diego·JournalJournal of Sound and Vibration·DateApr 4, 2006