【作者】 戚志东；

【导师】 朱伟兴；

【作者基本信息】 江苏大学 ， 电力电子与电力传动， 2002， 硕士

【摘要】 在现代工业控制过程中,模糊控制在模型不确定系统中的应用越来越广泛。而对于不同的控制对象,模糊控制器的控制规则,隶属函数参数,量化因子和比例因子也是不一样的,它们对模糊控制系统性能的好坏起着决定性的作用。如何获取这些参数和规则是模糊控制器设计的核心问题。本文首先研究了模糊控制与神经网络的基础理论和融合技术,结合两者的优点,提出了一种全网络化结构的神经模糊控制器。它用五层神经网络实现了模糊控制器的全部功能:模糊化、模糊推理和反模糊。在研究了标准遗传算法优、缺点的基础上,采用多点交叉、灾变算子、最优保留及用模糊控制的方法确定交叉和变异概率等多种改进策略设计了一种改进的遗传算法,并用它综合优化神经模糊控制器的结构和参数,同时生成相应的神经模糊控制器。仿真结果和实验数据表明,优化后得到的神经模糊控制器具有较好的动态性能和较强的鲁棒性。最后将优化方法及神经模糊控制器应用于汽车防抱死制动系统的设计过程,基于单轮的汽车模型,实现了对刹车过程中滑移率的控制,仿真结果验证了此法在实际应用中的可行性及有效性。更多还原

【Abstract】 In the process of modern industrial control, fuzzy control is used more and more widely in the system with uncertain models. But for different control objects, the choices of control rules, membership function parameters and scaling factors, should be dissimilar too. They are very crucial for fuzzy control system’s performance. And the central problem is how to acquire the parameters and rules in the design of fuzzy controller.Firstly, the paper studies neural fuzzy technology. Combining the two technology’s merits, here we put forward a kind of neural fuzzy controller with full-net structure, which uses a five-layer neural network to realize all functions of fuzzy controller. Secondly, based on the study of advantages and disadvantages of standard genetic algorithms, the paper brings forward an improved genetic algorithm which adopts many improving strategies, such as multi-point crossover, regeneration operator, optimum maintaining, fuzzy control method used to achieve the values of probabilities of crossover and mutation. Then the improved algorithm is used to synthetically optimize the structure and parameters of the controller. At the same time, the corresponding neural fuzzy controller generates. The results of simulations and datum of experiments show that the optimized controller has good dynamic capabilities and strong robust performance.Finally, based on the mathematical model of single-wheel vehicle, the optimization method as well as the fuzzy neural controller is used in designing the automobile anti-lock brake system to fulfill the control of the slip ratio in the brake process. The results of simulations validate the feasibility and efficiency of the method in practice.更多还原