Multi-Objective Optimization Design of Cable Driven Parallel Robot Based on Aircraft Spraying

This article focuses on the cable driven parallel robot for aircraft spraying. Based on a multi-objective optimization model, the performance of the cable driven parallel robot (CDPR) is optimized using Prairie Dogs optimization algorithm. Firstly, a static model of 8-cable 6-degree-of-freedom CDPR suitable for aircraft spraying was established, and corresponding evaluation indicators were designed for four performance indicators: workspace, average stiffness, stiffness fluctuation, and flexibility. Establish a multi-objective optimization model by processing performance indicators and solve it using the Prairie Dogs optimization algorithm. The final results indicate that the groundhog optimization algorithm based on multi-objective optimization design has a good effect on the performance optimization of CDPR, providing important reference for the design and optimization of aircraft spraying robots. This study has important theoretical and practical significance in the field of aircraft spraying robots, providing new ideas and methods for optimizing robot performance, and has certain guiding significance for engineering practice.