论文部分内容阅读
PID控制在伺服系统中应用十分普遍,但参数整定过程比较麻烦。为了实现PID控制器参数的自整定,提出了一种采用搜索者优先算法(SOA)的PID参数自整定方法。为了提高控制精度并针对自整定的PID控制系统阶跃响应易产生尖峰超调和微幅震荡的问题,对适应度函数的选取方法进行了改进。为了证明该算法的有效性,利用MATLAB先对两个二阶延迟被控对象进行了仿真,最后将改进的算法应用于直流调速系统PID控制器的设计,仿真结果表明所提出的改进算法优化效果更好、适用性更强,自整定的直流调速系统在空载和负载条件下的动态特性与稳态误差均可取得满意的效果,对PID控制器参数自整定算法的研究具有一定的参考价值。
PID control in the servo system is very common, but the parameter setting process is too much trouble. In order to realize the self-tuning of PID controller parameters, a PID parameter self-tuning method based on Seeker-first algorithm (SOA) is proposed. In order to improve the control precision and solve the problem of spike overshoot and slight oscillation easily for the step response of self-tuning PID control system, the selection method of fitness function is improved. In order to prove the effectiveness of the algorithm, the two second-order delayed controlled objects are simulated by MATLAB. Finally, the improved algorithm is applied to the design of PID controller of DC speed control system. The simulation results show that the proposed algorithm is optimized Better effect and more adaptability. The dynamic characteristics and steady-state error of self-tuning DC motor speed regulation system under no-load and load conditions can achieve satisfactory results. The research on self-tuning algorithm of PID controller has a certain Reference value.