分别利用了共轭函数法与直接配置和非线性规划方法对异面最优变轨问题进行了求解。
Adjoint function algorithms and direct collocation and nonlinear programming methods are applied to resolve the non-coplanar optimal orbit transfers problem.
通过计算发电机转速和无功补偿节点电压变化量对各控制器参数的轨迹灵敏度，获得目标函数对各控制器参数的梯度，以便于用共轭梯度法寻找最优解。
Trajectory sensitivity approach is used to assess the gradient of the PSS and SVC parameters on the objective function and then conjugate gradient approach is applied to find the optimum solution.
梯度法对许多非线性问题均具有较好的性能，计算目标函数可以使用新的共轭变量法，有望显著提高寻优效率。
Generally, to nonlinear problem, gradient-based method is faster than simple method, and may improve efficiency due to using conjugate variables to calculate object function value.
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