适用于变时滞未知扰动过程的自校正控制算法

基于广义最小方差策略和极点配置策略,提出了一种适用于变时滞、未知扰动过程的新型自校正控制算法。该算法在操作条件变化的情况下,无需在线辨识被控过程的时滞和扰动,通过加权项的自动调整,始终能够保证控制系统稳定运行。该算法的数字仿真和实际应用的结果对于变时滞、未知扰动的过程,不仅具有良好的随机调节性能,而且还具有良好的伺服跟踪能力。

A Self - Tuning Algorithm for Processes With Variable Time - Delay and Unknown Disturbances

Based on the generalized minimum - variance strategy and the pole placement strategy , the paper presents a new self- tuning algorithm for processes with variable time - delay and unknown disturbances . When there is a change in the operating condition , by tuning the weighting polynomials automatically , the algorithm can guarantee that the system runs stably without identiiying the time - delay and distur -bances of the controlled process on line . The results of digital simulations and actual application demonstrate that the algorithm not only has the good performance of stochastic regulation , but also a fine efficacy of servo - tracking , for processes with variable time delay and unknown disturbances .