PID controller parameters identification based on the fastest model of inertial feature systems
-
摘要: 以慣性特征系統作為研究對象,針對常規PID控制器參數的設置問題提出了基于系統最速特征模型的辨識算法,該算法利用慣性特征系統的輸入輸出特性,通過最小二乘法辨識出系統的一階特征模型,然后再根據一階特征模型、控制律和系統的動、穩態性能的要求辨識出系統的二階最速特征模型,同時也計算出PID控制器的參數.仿真結果表明,該算法能夠使PID控制具有最速響應的特征,為PID參數設置提供了一種計算方法.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.
-
Key words:
- inertial systems /
- feature model /
- parameters identification /
- least square method
-

計量
- 文章訪問數: 161
- HTML全文瀏覽量: 48
- PDF下載量: 5
- 被引次數: 0