无人机航迹规划是典型的多目标优化问题, 传统的线性加权和法需反复迭代以确定一组满足工程特性需求的目标权重系数。物理规划方法通过构造偏好函数直接反映规划人员对航迹规划各目标的特性需求, 避免了因为反复迭代确定各目标权重系数所导致计算量大的缺陷, 因此,将物理规划方法与粒子群优化算法相结合用于无人机多目标航迹规划。仿真实验验证了该航迹规划方法能够获得各目标偏好结构下的折中解。

Route planning is a typical multi-objective optimization problem.Traditional linear weighted sum method needs repeated iteration to get a set of the objective weight coefficients for satisfying the requirement of engineering characters.Physical programming can reflect the requirement of the route planning objectives intuitively by constructing preference functionsavoiding computation burden caused by repeated iteration to acquire the weight coefficients of all objectives.Thereforephysical programming was used together with particle swarm optimization for multi-objective route planning of unmanned aerial vehicle (UAV).Simulation results show that the proposed method is able to acquire a compromise solution under the special preference structure of the route planning objectives.