混沌乌燕鸥算法优化发动机参数自整定PID控制

针对传统PID参数整定存在的问题，结合混沌乌燕鸥优化算法（Chaos Sooty Tern Optimization Algorithm, CSTOA）良好的搜索性能，提出了一种基于混沌乌燕鸥优化算法的航空发动机参数自整定PID控制方法（CSTOA-PID）。首先通过引入混沌映射的思路，改进了乌燕鸥优化算法（Sooty Tern Optimization Algorithm, STOA）。接着设计了性能指标加权的适应度函数，用来避免发动机供油量极大超调与急剧供油现象。最后对某型涡扇发动机的数学模型进行仿真验证，结果表明：在地面状态下，经CSTOA-PID控制器优化后的PID参数分别为4.31878、14、0.214426。CSTOA-PID控制器的参数整定效果都好于STOA-PID控制器和PID控制器，转速阶跃响应反应迅速，同时供油量出现的超调最小，证明了该方法的有效性和可行性。

Self-tuning PID Control of Engine Parameters Optimized by Chaotic Black Tern Algorithm

Aiming at the problems existing in traditional PID parameter tuning, combined with the good search performance of Chaos Sooty Tern Optimization Algorithm (CSTOA), a PID control method for aero-engine parameter self-tuning based on Chaos Sooty Tern Optimization Algorithm (CSTOA) is proposed. (CSTOA-PID). Firstly, the Sooty Tern Optimization Algorithm (STOA) is improved by introducing the idea of chaotic mapping. Then, the fitness function weighted by the performance index is designed to avoid the phenomenon of extreme overshoot and sharp fuel supply of the engine fuel supply. Finally, the mathematical model of a certain turbofan engine is simulated and verified, and the results show that: in the ground state, the PID parameters optimized by the CSTOA-PID controller are 4.31878, 14, and 0.214426, respectively. The parameter tuning effect of the CSTOA-PID controller is better than that of the STOA-PID controller and the PID controller, the speed step response is rapid, and the overshoot of the fuel supply is minimal, which proves the effectiveness and feasibility of the method.