本文以模糊集合理论为基础,采用相平面分析法,针对难以建立数学模型且含有大时滞系统设计了一种自适应模糊控制器,同时讨论了参数的具体设计方法,简化了已有的控制算法,使存储量大大降低,从而为具体应用奠定了基础。这种控制器具有控制算法简单,整定时间短,稳定性及自适应能力强,抗干扰性能好等优点。计算机仿真证明了本算法的正确性,又通过模拟试验进一步讨论了控制器的具体实现问题,并给出了良好的反应曲线。进一步又将模型引入了自适应模糊控制器中,依据新定义的性能指标,可以实现参考模型自适应控制及最速控制等,仿真结果表明,这种控制器具有良好的性能,为大时滞系统的研究提供了一新的途陉。 Based on the theory of fuzzy set theory, phase-plane analysis method is used to design an adaptive fuzzy controller which is difficult to set up a mathematical model and contains a large time-delay system. At the same time, the specific design method of parameters is discussed and the existing control is simplified Algorithm, so that greatly reduce the amount of storage, which laid the foundation for the specific application. This controller has the advantages of simple control algorithm, short settling time, strong stability and adaptability, good anti-jamming performance and so on. Computer simulation proves the correctness of this algorithm, and further discusses the concrete realization of the controller through simulation experiments, and gives a good response curve. Furthermore, the model is introduced into the adaptive fuzzy controller. According to the newly defined performance index, the reference model adaptive control and the steepest speed control can be realized. The simulation results show that this controller has good performance, Research provides a new way to go.