PID控制中各参数对控制效果作用不同，为了应对燃气轮机负载突变的复杂情况，工程实践中对PID参数的优化至关重要。应用人工鱼群算法对燃气轮机负载突变的PID参数寻优进行了研究。在人工鱼群算法的基础上对燃气轮机负载突变0.1工况的多种情况进行了仿真实验。仿真结果表明：在负载突变0.1工况的定转速控制模式下，利用人工鱼群算法寻优获得的PID参数的控制效果在过渡时间、衰减比等多方面优于通过Z-N临界法计算得到的PID参数所达到的性能指标；通过人工鱼群算法寻优获得的有限组PID参数，可以通过插值的方式得到其他工况满足控制要求的PID参数。

Each parameter in the proportion integration differentiation (PID) control has different influences on the control effect,in order to cope with the complex situation of the sudden change of the gas turbine load,the optimization of the PID parameters in engineering practice is crucial.The artificial fish swarm algorithm is used to study the PID parameter optimization of gas turbine during load sudden change.On the basis of artificial fish swarm algorithm,the simulation experiments are carried out for various conditions of gas turbine during load sudden change of 0.1.The simulation results show that under the constant speed control mode with load sudden change of 0.1,the control effect of the PID parameters obtained by using the artificial fish swarm algorithm is better than the performance index of the PID parameters calculated by the Z-N critical method in many aspects such as transition time and attenuation ratio.The finite set of PID parameters obtained by the artificial fish swarm algorithm optimization can get the PID parameters that meet the control requirements of other working conditions by means of interpolation.

TK47；TP18