Description: 应用MATILAB编程实现了遗传算法整定PID控制器参数，并应用于一阶延迟模型的控制，并进行了阶跃响应仿真。-Application Programming MATILAB a genetic algorithm-tuning PID controller parameters, and applies to first-order delay model of control, and a step response simulation. Platform: |
Size: 2048 |
Author:王红梅 |
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Description: SIMULINK仿真中做了模糊控制自整定PID控制器和常规PID控制器对同一个一阶惯性环节的控制仿真，-SIMULINK simulation of fuzzy control has done a self-tuning PID controller and conventional PID controller with a first-order inertial link in the control simulation, Platform: |
Size: 8192 |
Author:zhangbin |
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Description: 这个程序采用BP神经网络对传统的PID控制器的三个参数进行整定-This procedure using BP neural network to the traditional PID controller tuning the three parameters Platform: |
Size: 1024 |
Author:周凯 |
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Description: The goal of the tutorial is for you to learn about the PID controller and a few basic tuning rules of it. Platform: |
Size: 160768 |
Author:mostafa |
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Description: 里面有：
基于MATLAB／Simulink环境下的PID参数整定
基于MATLAB的PID控制器参数整定及仿真
基于MATLAB的PID控制器设计
基于MATLAB下的PID控制仿真-Inside: Based on MATLAB/Simulink environment MATLAB-based PID parameter tuning of PID controller tuning and simulation of PID controller design based on MATLAB-based PID control simulation under MATLAB Platform: |
Size: 801792 |
Author:wangyin |
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Description: 锅炉汽包水位控制系统是火力发电厂中的一个重要的热工控制系统，汽包水位的
控制大多采用传统PID控制方式。但是，传统PID控制器参数的整定是在获取对象数学
模型的基础上，根据某一整定规则来确定的，不能进行在线调整，难以适应锅炉汽包
水位这样一个复杂多变的控制系统，其控制效果往往难以满足要求。
本文应用模糊控制技术，设计了一种二输入三输出模糊自整定PID控制器，对锅
炉汽包水位进行控制，实现了PID参数的自适应调节。利用MATLAB对控制系统进行
仿真。结果表明，该控制器自整定能力及鲁棒性比传统PID控制器更强，响应速度快、
精度高，同时对虚假水位有较好的控制效果。-Boiler water level control system is an important thermal power plant in the thermal control system, boiler water level
Control most of the traditional PID control method. However, the traditional PID controller tuning parameters for objects in mathematics
Model based on the rules to determine a whole and can not be adjusted online, it is difficult to adapt to the boiler drum
Water level control such a complex system, its control effect is often difficult to meet the requirements.
In this paper, fuzzy control technology, designed a two input and three output fuzzy self-tuning PID controller, the pot
Steam drum level control, the PID parameters to achieve the adaptive regulation. The control system using MATLAB
Simulation. The results show that the controller auto-tuning capability and robustness more than the traditional PID controller, fast response,
High precision, while the water level has better control of false results. Platform: |
Size: 1248256 |
Author:沉默年糕 |
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Description: 分数阶pid控制器、最新参考文献，工业上新型控制器，文献包含控制器的设计、性能分析、工业应用现状、控制器参数整定方法。是目前研究与应用的热点-Fractional pid controller, the latest references, industry new controller, the literature contains the controller design, performance analysis, industrial application status, the controller parameter tuning methods. Is currently a hot research and application Platform: |
Size: 11314176 |
Author:凌钥薪 |
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Description: 本文把神经网络技术应用在PID控制中，充分利用神经网络具有非线性函数逼近能力构造神经网络PID自整定控制器。-This paper, the neural network technology used in PID control, the full use of neural network structure with nonlinear function approximation capability PID self-tuning neural network controller. Platform: |
Size: 97280 |
Author:zhuzhu |
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Description: A summary of PI and PID controller tuning rules
for processes with time delay. Part 2: PID controller
tuning rules
Platform: |
Size: 139264 |
Author:amina |
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Description: 介绍了一种基于最，j,-最大原理整定鲁棒PID控制器参数的方法，并应用MA ⅡAB
优化工具箱函数按非线性二次规划法搜索合理的PID参数。仿真结果表明，优化函数寻找
最佳PID参数简便可靠；当模型在一定范围内变化时，按该方法整定的鲁棒PID控制器均
能保证控制系统的动态性能良好。-Introduced based on the most, j,- setting the maximum principle method of robust PID controller parameters, and apply the MA Ⅱ AB optimization toolbox functions are nonlinear quadratic programming the search reasonable PID parameters. Simulation results show that the optimization function to find optimal PID parameters is simple and reliable when the model changes within a certain range, according to the method of robust PID controller tuning control system can guarantee a good dynamic performance. Platform: |
Size: 142336 |
Author:shaoyuan |
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Description: The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
identified via an artificial neural network from measured data. The genetic algorithm
represents an optimisation procedure, where the cost function to be minimized
comprises the closed-loop simulation of the control process and a selected
performance index evaluation. Using this approach the parameters of the PID
controller were optimised in order to become the required behaviour of the control
process. Testing of quality control process was realized in simulation environment of
Matlab Simulink on selected types of nonlinear dynamic processes.-The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
identified via an artificial neural network from measured data. The genetic algorithm
represents an optimisation procedure, where the cost function to be minimized
comprises the closed-loop simulation of the control process and a selected
performance index evaluation. Using this approach the parameters of the PID
controller were optimised in order to become the required behaviour of the control
process. Testing of quality control process was realized in simulation environment of
Matlab Simulink on selected types of nonlinear dynamic processes.
Platform: |
Size: 135168 |
Author:samir |
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Search - controller tuning