针对舰船转叶舵机运动时舵叶与水动力之间存在强力位耦合的问题，设计一种新型复式液压摆动缸转舵机构。为减小结构整体占地面积，基于多目标遗传算法（Multi-Objective Genetic Algorithm，MOGA）建立以复式摆动缸壳体内径、力矩解耦缸转子内径、驱动缸转子轮毂直径、动静叶片高度、动静叶片宽度和壳体厚度几何尺寸为设计变量的多目标优化模型。在使用遗传算法（Genetic Algorithm，GA）求解非线性约束条件下的多变量优化问题时，通过设计罚函数，将适应度函数与约束条件分离以处理约束条件，根据设定的准则择优筛选最优尺寸参数。通过有限元软件ANSYS对摆动缸壳体、力矩解耦缸转子和驱动缸转子进行应力应变分析。结果表明，在满足结构强度、刚度和安全因数的前提下，复式摆动缸结构尺寸最优，验证优化后结构的可靠性。
In terms of the problem of strong potential coupling between rudder blade and hydrodynamic force in the motion of ship rotating blade steering gear, a new type of compound hydraulic oscillating cylinder steering gear is designed. In order to reduce the overall floor space of the structure, a multi-objective optimization model which takes the inner diameter of compound oscillating cylinder shell, inner diameter of torque decoupling cylinder rotor, diameter of driving cylinder rotor hub, height of moving blade and stator blade, width of moving blade and stator blade, and geometric dimensions of shell thickness as the design variables is established based on Multi-Objective Genetic Algorithm (MOGA). When Genetic Algorithm (GA) is used to solve the multivariable optimization problem under the nonlinear constraints, the fitness function is separated from the constraints by designing the penalty function to process the constraints, and the optimal dimension parameters are selected according to the set criteria. The stress-strain analysis of oscillating cylinder shell, torque decoupling cylinder rotor, and driving cylinder rotor is made with ANSYS. The results show that the structure dimension of compound oscillating cylinder is optimal on the premise of meeting the structure strength and stiffness, and safety factor, which verifies the reliability of optimized structure.