In the UAV path planning problem, traditional algorithms have shortcomings such as computational complexity and convergence. WOA algorithm is concise and easy to implement, and has loose requirements on objective function conditions and less parameter control, etc. However, its lack of adaptability and difference limits its performance in complex optimization problems. In this study, a nonlinear convergence factor and an adaptive weight strategy were introduced. In the simulation verification, multiple constraints were considered and added into the objective function as a penalty term to build a route planning model under the UAV flight mission scenario, and the improved WOA algorithm was used to solve the optimal path. Through simulation verification, the results proved that the improved WOA algorithm was efficient and practical. The final simulation verifies the efficiency and practicability of improved WOA algorithm.
In order to solve the problem of low level of automation of spraying actuators of upland clearance plant protection machine, an automatic folding five-section spray bar based on electric actuator drive is designed, and a folding hinge is designed between the inner spray bar and outer spray bar that can automatically unfold the outer spray bar when the inner spray bar is extended, so as to realize the smooth action of horizontal unfolding and folding of the spray bar. The design of this paper has certain feasibility, which provides the basis for processing the prototype and studying its spraying characteristics.
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