基于混合遗传算法的航空发动机PID控制参数寻优

Optimization methodology of PID controller parameters for aeroengines based on mixture genetic algorithm

结合某型航空发动机的比例积分微分控制(PID)参数整定与优化问题,提出了一种全局最优且与初值无关的优化算法.算法采用与单纯形相结合的混合遗传算法,结合了遗传算法良好的全局收敛性和单纯形算法的优秀的局部搜索能力,提高了搜索速度与精度.仿真结果表明这种方法具有较好的收敛性与稳定性.

Based on the mathematical model of aeroengine, an optimization methodology of the PID controller parameters with genetic algorithm （GA） was developed. This optimization methodology is a global optimization and has nothing to do with initial values. Mixture genetic algorithm fusing the advantage of steeply convergence and highly precession of simplex algorithm and global convergence of genetic algorithm, is used to improve the searching process and precision. The result shows that the algorithm has good convergence and steadiness.