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TheResearchOnRBFFuzzyNeuralNetworkofElectrohydraul
- 采用模糊RBF神经网络对柴油机油门执行器位置进行控制，介绍了电液调速执行器的动态特性，设计了电液调速控制回路，本文将一种基于模糊RBF神经网络的PID控制器应用于柴油机调速控制当中，详细说明了模糊RBF神经网络控制器的设计过程，它结合了传统PID以及神经网络和模糊控制的优点，可以在线调整得到一组最优的PID控制参数。仿真结果表明该系统比传统模糊控制的响应速度快、超调小，且适应性强，具有推广价值。-fuzzy RBFNN right Diesel throttle actuator positio
daolibaide-yanjiu-
- 倒立摆的研究 包括PID 模糊最优控制等-The study included PID double inverted pendulum fuzzy optimal control, etc
helicopter-angle-PID
- 直升机的三个姿态角的pid控制算法，matlab中的simulink仿真程序，配合最优pid设计算法，得到很好的控制效果-Three attitude angle of the helicopter pid control algorithm matlab in simulink simulation program, with the optimal pid design algorithm, well controlled
helicopter-positionaheight-pid
- 关于直升机增稳控制系统设计中高度以及位置x，y的matlab仿真程序，利用optimization得到最优参数，效果很好，满足快速性稳定性的要求-Helicopter stability augmentation control system design, height and location x, y matlab simulation program, the use of optimization to get the optimal parameters, the effect is
Z-N-PID-control
- Z N法进行PID控制，采用simulink进行仿真，得到最优控制参数，属于工程上的参数整定 -Z N method for PID control, using simulink simulation, get the optimal control parameters, belong to the engineering parameter setting
A-Pspfor-pid
- 基于粒子群算法的avr系统pid优化，A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System-A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System， novel design method for determining the optimal
LQR-controle-Inverted-Pendulum
- 利用LQR最优控制实现一级倒立摆的仿真控制，仿真结果趋于理想化，是一种优于PID的一种控制算法。-Use of LQR optimal control to achieve a simulation of inverted pendulum control, simulation results tend to idealize a superior kind of PID control algorithm.
PSO_BEST_KP_KI_KD
- optimal PID tuned by PSO
pid-tunning
- PID tunning for dc motor by PSO the parameter of DC motor are in an article with title of Optimal brushless DC motor design using genetic algorithms by A.Rahideh et al-PID tunning for dc motor by PSO the parameter of DC motor are in an article w
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- optimal pid tuning speed controler
optimPID
- 最优PID控制器及设计界面接口及源程序和源代码工具箱(Optimal PID controller and design interface, and source code and source code toolbox)
code
- 该代码为基于pso算法优化的PID神经网络的系统控制算法 清空环境变量 粒子初始化 初始种群极值 迭代寻优 最优个体控制(The code is the system control algorithm of PID neural network based on PSO algorithm optimization Empty the environment variable Particle initialization Initial population extremum