[1] Xu, J. X., Hang, C. C., Liu, C. "Parallel structure and tuning of a fuzzy PID controller."Automatica, Vol. 36, pp. 673-684. 2000. [2] Ying, Hao.Fuzzy Control and Modeling: Analytical Foundations and Applica
sim("sllookuptable") Compared with the traditional linear PID controller (the response curve with large overshoot), the nonlinear fuzzy PID controller reduces the overshoot by 50%. The two response curves from the nonlinear fuzzy controllers almost overlap, which indicates that the 2-D lookup tabl...
(完整版)基于SIMULINK的Fuzzy-PID控制器设计.doc,基于 SIMULINK的 Fuzzy-PID 控制器设计 一、 基本要求 设计一种 Fuzzy-PID 控制算法,利用 MATLAB 的 SIMULINK 进行仿真研究,根据实验结果比 Fuzzy-PID 控制算法与普通的 PID 算法的的抗干扰能力和鲁棒性及动、静态控制精度
在MATLAB7.0/Simulink环境下,采用上述设计的带修正因子的Fuzzy-PID控制系统应用到飞行器俯仰、横侧、航向三通道的姿态控制中,并进行数学仿真。系统仿真框图如图3所示。图4给出了俯仰舵偏、俯仰角速率、迎角及俯仰角的仿真结果。图5给出了偏航舵偏、侧滑角、偏航角速率以及偏航角的仿真结果。图6给出了滚转舵偏、侧滑...
基于SIMULINK的Fuzzy-PID控制器的设计是对于对象不太确定时的一种模糊控制算法,通过实验及理论的分析,Fuzzy-PID控制器对比与普通的PID控制器,有着明显的优点,Fuzzy-PID算法有着参数自整定的功能,相对于普通PID算法而言,系统的精确度更加提高,系统的在线自适应能力明显增加,稳定性更好。 参考文献 1、郑亚林,黄德隆,...
This strategy's construction starts with direct measurements of the electrical and mechanical variables using computational tools such as FAST and Matlab-Simulink for simulations of a 1.5MW wind turbine model. This DSC strategy presents a rapid performance regarding the tracking of the maximum \\({\...
The following Simulink (model) diagram shows a FIS-based fuzzy controller for the house heating system. The fuzzy controller for this example uses two fuzzy systems: The Get Desired Temperature system is a Fuzzy Logic Controller block that calculates the desired room temperature. The Fuzzy PID sys...
设计了一种Fuzzy—PID控制算法,利用MATIAB的SIMULINK进行仿真研究,结果表明,该控制器具有较强的抗干扰能力和鲁棒性,有较好的动、静态控制精度. 传统PID线性控制器根据被控对象的不同,适当地调整PID参数,可以获得比较满意的控制效果.然而,传统PID控制器的线性特性只有在工作点附近才能获得较理想的效果,当偏离工作点较远...
Chen et al. (2013)presented a fuzzy controller-basedenergy managementscheme (EMS) for DC micro-grid system. The work investigated the fuzzy controller-based charging and discharging control of lithium-ion batteries designed and analyzed on the MATLAB/Simulink platform. The fuzzy controller was design...
Figure 8. Simulink diagram of self-tuning fuzzy PID controller. The controller of self-tuning fuzzy PID controller consists of two parts PID controller and fuzzy logic controller, which were tuned on-line the parameters of the PID controller. 4. Design steps of MRAC by MIT rule 4.1. MRAC An...