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tunningPIDbyPSO
- 使用基本粒子群算法整定的PID控制，供学习者参考。-The use of elementary particle swarm optimization algorithm-tuning PID control for the learner information.
tunning_PID_by_PSO
- 粒子群优化算法。PID控制器的整定，matlab源码。-Tunning of PID controller using Particle Swarm Optimization Author: Wael Mansour (wael192@yahoo.com) MSc Student, Electrical Enginering Dept, Faculty of Engineering Cairo University, Egypt
POSRBFNN
- mtlab粒子群优化模糊RBF神经网络整定PID控制-mtlab Particle Swarm Optimization Fuzzy RBF neural network PID control tuning
主要程序
- 粒子群算法的仿真程序，并采用典型benchmark进行演示分析； 然后，应用粒子群算法进行热工过程水轮机系统模型辨识，matlab软件可直接运行； 采用粒子群算法与PID参数整定进行联合仿真，用以提高PID控制器对热工过程水轮机的控制性能。(Particle swarm algorithm simulation program, and the use of a typical benchmark for demonstration analysis; Then, the particle
pso-pid
- 粒子群算法整定PID的算法,亲自调整，控制效果良好(pso-pid MATLAB m simulink)
粒子群算法优化pid源码 matlab仿真
- 粒子群算法（PSO）整定pid控制参数，比传统Z-N整定方法要好，内附matlab程序与simulink模型(Particle swarm optimization (PSO) is better than traditional Z-N tuning method in tuning PID control parameters. It includes matlab program and Simulink model.)