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.
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.
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.
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.
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.