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fuzzy-pi
- 一被控对象 ，给定为阶跃给定，幅值为500，设计一个两维模糊PI型控制器，输入语言变量和输出语言变量均取7个值{NB，NM，NS，ZE，PS，PM，PB}，模糊论域为{-6，-5，-4，-3，-2，-1，0，1，2，3，4，5，6}，用matlab编程仿真研究。
fuzzy-cluster
- fuzzy的入门程序，有数据和注释，简单易学-fuzzy clustering
fuzzynet
- 模糊RBF网络逼近和混合Pi-Sigma神经网络逼近-Fuzzy RBF and Pi-Sigma Approaching
35kv-svg-control
- svg电力控制系统的仿真论文，很详细。包括系统的软件硬件，大部分为原创！包括matlab-fuzzy pi算法的实现-svg power control system simulation study, very detailed. Including system software and hardware, most original!
DualFuzzy-PIController
- 模糊PI双模控制器的设计例子MATLAB源程序。-Fuzzy PI dual mode controller design example of MATLAB source.
SVM1
- a comparative study between a PI regulator and fuzzy regulator for a control speed of a Dual Star Induction Machine (DSIM) supplied with two PWM voltage source inverter (VSI) and decoupled by field oriented control (FOC).The simulation results
284-1966-1-PB
- Fuzzy-PI Current Controlled D-STATCOM
Fuzzy-PI-control-of-PMSM
- 控制系统采用经典的三闭环结构,其中电流环采用id=0的矢量控制策略,速度环采用PI控制,位置环采用模糊PI自适应控制,自适应控制通过Matlab软件编程。文中给出了系统各模块仿真模型的建立方法,并针对工程系统实际参数,进行了负载突加突卸时位置、速度和转矩瞬态过程仿真与分析。结果表明,该系统抗干扰性好,能快速准确地跟踪位置及转速给定。-The control system uses the classic three-loop structure, the current loop id = 0
FNNcontrol223
- Matlab实现模糊控制与传统PI控制比较后证明模糊控制修正优于PI控制( Input X: 2 membership functions, Y: 2 membership functions Output U: 3 membership functions)-Matlab fuzzy control with conventional PI control proved that the fuzzy control correction is superior to PI control (I
FNNcontrol335
- Matlab实现模糊控制与传统PI控制比较后证明模糊控制修正优于PI控制( Input X: 3 membership functions, Y: 3 membership functions Output U: 5 membership functions)-Matlab fuzzy control with conventional PI control proved that the fuzzy control correction is superior to PI control (I
fuzzy_pid_withdis
- Under the circumstances of pure lag in feedback control system and the imprecision of the controlled object model, the fuzzy logic and pure lag compensation theory is used to design a Fuzzy PI-Smith control system . By the Simulink toolbox and Fuzzy
fuzzy_tl
- Under the circumstances of pure lag in feedback control system and the imprecision of the controlled object model, the fuzzy logic and pure lag compensation theory is used to design a Fuzzy PI-Smith control system . By the Simulink toolbox and Fuzzy