Solar rotor unmanned aerial vehicle design method based on self-adjusting search pigeon flock intelligence

Abstract

The invention discloses a solar rotor unmanned aerial vehicle design method based on self-adjusting search pigeon flock intelligence. The method comprises the steps that 1, solar array modeling is conducted; 2, modeling the rotor unmanned aerial vehicle and a power system; 3, designing an MPPT controller based on a self-adjusting search pigeon inspired optimization algorithm; 4, designing an energy management strategy based on a finite-state machine; 5, optimizing the design of the solar rotor energy system; and step 6, flight control system parameter optimization based on a self-adjusting search pigeon inspired optimization algorithm. The invention provides a complete and normative solar rotor unmanned aerial vehicle design method and a process framework. A self-adjusting search pigeon inspired optimization algorithm is designed and applied to design of an MPPT controller, the tracking capability of the maximum power point of a solar array is improved, a cascade PID flight control system is decomposed into a plurality of channels according to the characteristics of the cascade PID flight control system, the self-adjusting search pigeon inspired optimization algorithm is adopted in a layered mode for optimization, the optimization problem is greatly simplified, and the maximum power point tracking capability of the solar array is improved. And the reliability of design results is improved.

Description

technical field [0001] The invention relates to a design method of a solar rotor unmanned aerial vehicle based on self-adjusting search pigeon group intelligence, and belongs to the fields of new energy and aviation technology. Background technique [0002] As one of the important types of UAVs, the rotor UAV has the advantages of small size, light weight, convenient operation, cheap and easy to obtain. Whether it is military reconnaissance and fixed-point strikes, or civilian drug spraying and disaster relief, rotor drones are indispensable. But the rotor UAV has an important defect-it consumes too much energy, and the time to perform a mission is much shorter than that of a fixed-wing UAV under the same conditions. It is more feasible to combine the solar cells with the rotor. As a clean and renewable energy source, solar energy has the advantages of abundant sources and easy access, which meets the country's strategic needs for energy conservation, emission reduction, a...

AI Technical Summary

Problems solved by technology

[0005] The invention provides a system design method of solar rotor UAV based on self-adjusting search pigeon group intelligence, aiming to solve the problem of limited flight time of multi-rotor UAV hovering and other tasks, and the battery array is too sensitive to environmental conditions such as light and temperature. To solve this problem, use the self-adjusting search pigeon group optimization algorithm to design a new solar MPPT controller and optimize the parameters of the flight controller. On the basis of reducing the design cost and improving the system's anti-environmental interference ability, it can improve the conversion efficiency of light energy to electricity and reduce unnecessary Necessary waste of light energy to further improve mission endurance of solar rotor drones

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