【摘要】 该文采用MATLAB软件中的动态仿真工具SIMULINK和模糊控制工具箱建立典型二阶被控对象的二维模糊控制系统仿真模型,其控制规则用解析式表达。在人工调试得到量化因子和比例因子的初始值后,采用MATLAB软件中的非线性控制设计(NonlinearControlDesign,NCD)模块集对该模糊控制系统的量化因子和比例因子进行优化,仿真优化后得到了模糊控制系统的量化因子和比例因子的最优参数。再通过调节因子调节控制规则,超调最小时的调节因子的值即为最佳值。从而得到了整个二维模糊控制系统的四个最优参数。该文提出的模糊控制系统优化方法易于为工程技术人员掌握,具有重要的理论和实用价值。更多还原

【Abstract】 The simulation model of a typical second -order plant’ two dimension fuzzy control system was setup using SIMULINK and fuzzy control blockset in MATLAB. The control rule was expressed in formula .We got the initial value of quantised factor and proportional factor by adjusting manually, then optimize these factors by using NCD blockset to get the optimized value of these factors. By adjusting the adjustive factor to minimize the overshoot of output, we can get the best adjustive factor. Through these steps, we got four best factors. This method for optimizing fuzzy system is easy to be grasped by technicians, hence has important value.更多还原