自适应差分进化算法在燃气轮机转速控制中的应用

Application of Self-adaptive Differential Evolution Algorithm in Speed Control of Gas Turbine

为改善燃气轮机转速控制系统的调节品质，提出一种自适应差分进化算法，通过其控制参数的自适应调整，提高差分进化算法的快速收敛和全局寻优能力。应用该算法重新设计燃气轮机转速控制回路，其比例积分微分控制器（P1D）参数通过自适应差分进化算法进行优化。仿真试验表明：经过白适应差分算法优化PID参数的转速控制系统，无论在正常升速过程还是甩负荷等突变工况，转速控制的动态特性和静态特性均明显优于标准差分进化算法优化PID参数的控制系统。

In order to improve the adjustment quality of speed control system of gas turbine plant, a sell- adaptive differential evolution algorithm was presented. Through its adaptive adjustment of control parame- ters, fast convergence and global search capabilities of differential evolution algorithm were improved. This method was used to redesign speed control loop of gas turbine and its PID parameters were optimized by the self-adaptive differential evolution algorithm. The experimental results show that in either gas turbine speed control process or load rejection, the dynamic and static performance of speed control system with the PID parameters optimized by the self-adaptive differential evolution algorithm are better than the one with PID parameters optimized by the standard differential evolution algorithm.