针对航空三级式发电机存在建压超调、响应速度慢、电压稳定性差、负载扰动等问题，在双环调压结构的基础上，设计了一种基于灰狼混合粒子群算法(GWO-PSO)优化的二自由度分数阶PID(2DOF FOPID)调压控制器。利用二自由度控制，增强抗干扰和目标跟踪能力；结合分数阶控制，使参数的整定更加灵活，并具有对被控对象参数变化不敏感的特点，可以提升系统的控制性能；改进的GWO-PSO以灰狼优化算法的机制开始搜索过程，然后用PSO算法改进灰狼的位置，以平衡算法的局部搜索和全局开发的能力，利用改进的优化算法对2DOF FOPID控制器进行参数优化。仿真结果表明，所设计的控制器具有响应速度快、超调小的优点，提高了发电机的动静态性能和抗扰能力。

The built-in voltage overshoot, slow response speed, poor voltage stability and load disturbance exist in the aerospace three-stage generator. To solve these problems, a two-degree-of-freedom fractional order PID (2DOF FOPID) voltage regulation controller optimized by gray wolf hybrid particle swarm optimization (GWO-PSO) is designed on the basis of double loop voltage regulation structure. The two-degree-of-freedom control is used to enhance the ability of anti-interference and target tracking. The fractional order control is used to make the parameter setting more flexible and insensitive when the parameter of the controlled object changes, and the control performance of the system is improved. The improved GWO-PSO starts the search process with the mechanism of GWO algorithm, and then uses PSO algorithm to improve the position of grey wolf, so as to balance the ability of local search and global development of the algorithm. Then the improved algorithm is used to optimize the parameters of 2DOF FOPID controller. Simulation results show that the designed controller has the advantages of fast response and small overshoot. It improves the dynamic and static performance and anti-interference ability of the generator.

国家自然科学基金项目(51876089)