3 results about "Feedforward systems" patented technology

The application discloses a kind of digital filter structures for Σ-ΔADC downsampling, adopt full digital method to construct three-order single loop feedforward system, series integrated integral-comb cascaded filter, compensation filter and half-band filter.Integral-comb cascaded filter is composed of multistage integrator series recursion structure, support downsampling multiple programmable, improve parallelism and hardware utilization by moving delay unit position in advance.Compensation filter adopts odd-order integrator multi-branch parallel, reduce resource occupation, significantly improve processing speed;Half-band filter uses retiming technology to adjust coefficient position, reduce critical path delay, improve the highest frequency of system, while reducing the amount of calculation through symmetric structure and multiplexing extraction path, front extraction reduces the demand of operation rate and data loss.The application realizes low power consumption, low hardware consumption and high design flexibility of downsampling filter in Σ-ΔADC digital module.

A system simulating a decisional process in a mammal brain about characteristics of motions related to body gestures of a visually observed body through a simulated visual path is provided. The system includes an interface toward simulated neuronal structures, the interface at least converting luminous information of the observed body to an optic flow data stream conveying information related to the visually observed body and that can be processed in the simulated neuronal structures, the system being a feed-forward system and comprising hierarchically from the visual observation to the decision: the simulated visual path and its interface, a simulated local motion direction detection neuronal structure for the detection of motion directions with receptive fields, a simulated opponent motions detection neuronal structure, a simulated complex patterns detection neuronal structure, and a simulated motion pattern detection neuronal structure.

This invention discloses a feedforward adjustment method, device, and storage medium for calibrating the consistency of host control execution, belonging to the field of mechanical automation control technology. The method includes: acquiring the control input signal and the actuator output signal during the feedforward system control process, and plotting a measured curve; selecting the dead zone endpoint from the measured curve as the calculation starting point and the extreme point of the actuator output signal as the calculation endpoint, and plotting a desired curve; equally dividing the measured curve and the desired curve into several sampling points to obtain the coordinate data of the measured curve and the desired curve, respectively; obtaining the linearity by calculating the average deviation; comparing the linearity with a preset linearity threshold; if the linearity is greater than the preset linearity threshold, then optimizing by adjusting the actuator input signal. This invention can improve the trajectory accuracy of the host robotic arm in complex high-speed conditions and solve problems such as poor accuracy and lag.