基于改进遗传算法的柴油机调速控制研究

Research of Diesel Speed Control System Based on Improved Genetic Algorithm

以6135柴油机为对象,建立了柴油机简化传递函数和执行机构模型。针对传统PID调速稳定时间长,控制效果不理想,论文提出一种改进遗传算法的PID调速控制策略。改进的遗传算法从加快收敛速度、抑制早熟和提高寻优能力出发,提出了改进的选择算子、自适应交叉算子和自适应变异算子,采用MATLAB软件分别对传统PID和基于改进遗传算法PID的调速控制系统进行了仿真研究。仿真结果表明,改进遗传算法PID控制器具有良好的动态品质和稳定性,其控制效果优于传统的PID控制器。

The transfer function controller models are established for 6135 diesel engine. The paper presents a new method which com bined PID control with improved genetic algorithm （GA）. This method overcome some defects of tradition PID control, such as longer speed stability time and lower control dfect. To solve the problem of global convergence,improve the convergence speed and avoid premature con- vergence,an improved genetic algorithm based on select operator,self-adjusting cross operator and mutation operator has been proposed. The paper makes simulation research on the speed control system respectively based on the conventional PID control algorithm and the improved GA PID control algorithm using MATLAB. The simulation results show that the optimal PID controller based on the improved genetic algorithm has a satisfied control effect and is superior to the conventional PID controller.