无辨识自适应算法与模糊推理的组合控制

一般自适应控制算法需在线辨识系统模型，算法复杂，计算时间长。本文采用无辨识自适应算法，不用辨识系统的模型，同时应用模糊推理对控制量进行补偿，以便克服模型失配的影响。仿真结果表明，该方案是非常有效的，适合于具有时滞的工业系统。将其应用于制冷装置中的电子膨胀阀控制，使得蒸发器过热度的控制效果得到了明显的改善。

Identification-free Adaptive Algorithms and Fuzzy Inference Combination Control

The system model needs to be on-line identified by using common adaptive control algorithm, and this algorithm is complicated and the computing time is long. The identification-free algorithms for adaptive control is proposed, it needs no model identification, meanwhile, the fuzzy inference is used to compensate the control variable, so that the model mismatch is overcome. The simulation results show this control method is effective and is suitable for sophisticated industrial process. It is applied in electronic expansion valve control in refrigerating machine, so that the control results of evaporator super heat are improved greatly.