Method for acquiring and processing remote control information of unmanned aerial vehicle steering engines based on FPGA

Abstract

The invention provides a method for acquiring and processing remote control information of unmanned aerial vehicle steering engines based on an FPGA. The method provides an FPGA module which comprises a rising edge and falling edge signal acquisition circuit and a filter algorithm signal processing circuit; the method specifically comprises the following steps: each steering engine of the unmanned aerial vehicle is connected to a steering engine driver, each steering engine driver is connected with the FPGA module, the rising edge and falling edge signal acquisition circuit acquires a signal transmitted by a remote control receiver, and the filter algorithm signal processing circuit is used for performing filtering processing on the acquired remote control steering quantity control information to obtain stable remote control steering quantity control information, and sending the information to the flight control unit of the unmanned aerial vehicle by use of a bus. The method is capable of effectively increasing the acquisition frequency of the control signals of multiple steering engines, greatly increasing the response speed and updating the control steering quantity in real time, thereby improving the flight stability of the unmanned aerial vehicle.

Description

Technical field [0001] The invention relates to the technical field of UAV steering gear control, in particular to a method for collecting and processing remote control information of UAV steering gear based on FPGA. Background technique [0002] The rudder remote control of the existing unmanned aircraft generally uses logic circuits or microprocessors to collect multi-channel PWM waveform remote control information, combined with the automatic control rudder quantity information generated by the flight control unit, and after fusion processing, outputs multiple rudder quantity control information , Control the UAV's roll, pitch and heading movements. The information update cycle is in the order of ten milliseconds, and the signal acquisition anti-interference ability is poor, and the flight control response speed is slow, which directly affects the flight performance of the aircraft. [0003] At present, the acquisition of remote control information of the drone's steering gear ...

AI Technical Summary

Problems solved by technology

The existing technology uses hardware logic circuits and microprocessors to process the remote control signal of the steering gear, and the processing response cycle is at the level of ten milliseconds, generally 10-20 milliseconds to update once, and the signal response time is long

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