针对飞轮储能系统中电磁轴承-飞轮转子的悬浮控制问题，提出了一种基于多维可视化的多目标优化控制策略。首先，将电磁轴承-飞轮转子系统简化为平面转子模型，推导了平面转子控制系统的等效刚度、等效阻尼、最大振幅及灵敏度函数的解析模型，在此基础上，以控制系统的振动和鲁棒性为优化目标，以系统稳定性、“自然”刚度和“自然”阻尼、轴承定转子气隙、磁轴承鲁棒性边界为约束条件，建立了电磁轴承-飞轮转子系统的优化模型，并基于多维可视化算法来求解优化模型，得到了比例-积分-微分（proportional-integral-derivative, PID）控制参数的最优可行域。最后通过仿真和实验验证了本文所提出的控制算法，结果表明：新提出的控制系统能够实现飞轮转子系统在0 ~ 15 000 r/min转速范围内的稳定悬浮，具有振动小、鲁棒性强的特点。

For the suspension control of active magnetic bearing (AMB) flywheel rotor in the flywheel energy storage system, a multi-objective optimal control strategy based on multi-dimensional visualization was proposed. Firstly, the AMB-flywheel rotor system was simplified into a planar rotor model, and the analytical solutions of equivalent stiffness, equivalent damping, maximum amplitude and sensitivity function of the planar rotor control system were derived. On this basis, the optimization model of the AMB-flywheel rotor system was established, in the optimization model, the vibration and robustness of the control system were taken as the optimization objectives, and the system stability, "natural" stiffness and "natural" damping, bearing air gap, and robustness boundary of magnetic bearing were considered as the constraints. Subsequently, the multi-dimensional visualization algorithm was used to solve the optimization model, obtaining the optimal feasible regions of PID (proportional-integral-derivative) control parameters. Finally, the control method proposed was verified by system simulations and experiments, and the results show that the control system proposed can achieve stable suspension of the flywheel rotor system in the speed range of 0 ~ 15 000 r/min, with the characteristics of low vibration and strong robustness.