PID controller parameters identification based on the fastest model of inertial feature systems
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摘要: 以惯性特征系统作为研究对象,针对常规PID控制器参数的设置问题提出了基于系统最速特征模型的辨识算法,该算法利用惯性特征系统的输入输出特性,通过最小二乘法辨识出系统的一阶特征模型,然后再根据一阶特征模型、控制律和系统的动、稳态性能的要求辨识出系统的二阶最速特征模型,同时也计算出PID控制器的参数.仿真结果表明,该算法能够使PID控制具有最速响应的特征,为PID参数设置提供了一种计算方法.Abstract: An algorithm of PID controller parameters identification based on the fastest model was presented to tune PID controller parameters for an inertial feature system. With input and output data of the inertial feature system, this method identifies the first-order characteristic system by the least square method (LSM) firstly, then identifies the second-order fastest model of the inertial feature system according to the demands of the first-order characteristic system, control signal, the stable and dynamic properties of the inertial feature system, and then the PID controller parameters were calculated synchronously. Simulation results show that the algorithm makes the PID controller have the characteristic of the fastest response and provides an effective method for calculating the PID controller parameters.
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Keywords:
- inertial systems /
- feature model /
- parameters identification /
- least square method
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