Unmanned equipment training system, training method, controller and readable storage medium

Abstract

The invention provides an unmanned equipment training system, a training method, a controller and a readable storage medium. The controller comprises a rocker assembly, a communication module and a main control module, wherein the rocker assembly comprises a rocker, an X offset sensor and a Y offset sensor, the X offset sensor is used for acquiring the X offset of the rocker, the Y offset sensor is used for acquiring the Y offset of the rocker, the main control module is connected with the X offset sensor and the Y offset sensor, and the communication module is connected with the main control module. The controller further comprises a passive driving assembly, wherein the passive driving assembly comprises an X driving device and a Y driving device which are connected with the main control module, the X driving device drives the rocker to move in the X direction, and the Y driving device drives the rocker to move in the Y direction. A trainee holds the controller by hand to follow learning, so the force, angle, amplitude and other elements needing limb feeling of actions can be better understood, complex operation can be more effectively understood, and learning efficiency is improved.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicles, in particular to an unmanned equipment training system, an unmanned equipment training method, a controller and a readable storage medium. Background technique [0002] Unmanned equipment includes unmanned aerial vehicles, unmanned vehicles, unmanned boats, model airplanes, car models, ship models, etc. Taking drones as an example, the drone training systems on the market are mainly composed of controllers, decoders, and flight simulation software. In the process of training, the trainees need to use the controller to connect to the simulated flight software to train the sense of direction required for flight in a simulated environment, and the decoder converts the remote control signal into a computer-recognized protocol. This learning method is active, and the trainee is First think about an action in your mind, coordinate your hands to make a corresponding movement and push the joystick...

AI Technical Summary

Problems solved by technology

Disadvantages: Students need to try many times to grasp the sense of direction. Without the presence of teaching staff, the learning efficiency is not high

[0003] There is also a practical coaching mode, which is mainly composed of a real drone, a main controller, and a secondary controller. The practical mode is that the coach first flies the aircraft into the sky, and then switches to the secondary remote control of the students, allowing the students to When controlling the drone, if the instructor finds danger, he will immediately switch back to the main remote control. At this time, the secondary remote control has no control right. The disadvantage of this mode is that the students cannot feel the actual operation of the instructor at that time, which in turn affects the learning effect

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