一种针对时滞系统的改进智能轨迹导引控制算法

针对在控制大时滞系统时,智能轨迹导引控制(ITGC)算法在偏差选取上的不足,引起系统调节时间过长以及抗扰性不佳的问题,提出了一种改进智能轨迹导引控制(改进ITGC)算法。根据引入的参考模型和估计滞后,可得规划导引与无时滞参考模型间的偏差D_A以及有时滞给定与实际被控对象间的偏差D_B,以D_A和D_B的加权线性组合纠正系统的响应。分别运用MATLAB和一体化试验箱进行验证。结果表明改进算法在控制大时滞对象时兼具系统的响应速度和抗扰性能优势,且模型失配时,算法依然有效。改进ITGC算法为控制大时滞系统增加了解决途径。

An Improved Intelligent Track Guiding Control Algorithm for Time-delay System

In order to overcome the shortcomings of intelligent track guiding control (ITGC) algorithm had some defect in deviation selection when controlling large time-delay systems, which causes in long adjustment time and poor immunity to disturbances, an improved ITGC algorithm was proposed. The reference model and reference delay was introduced, deviation DA was the difference between guidance output and model output, and deviation DB was the difference between the given delay output and the actual controlled object output, the response of the system was corrected by a weighted linear combination of DA and DB. The applicability of the algorithm was validated by MATLAB simulation and integration test box. The results show that the improved algorithm has both the advantages of response speed and anti-disturbance performance in controlling large time-delay objects, and is still effective when the model is mismatched. The improved ITGC algorithm adds a solution to the control of large time-delay systems.