Description: 此程序为模糊PID控制程序，自适应模糊PID控制器以误差e和误差变化率e 作为输入，可以满足不同时刻的e和e 对PID参数自整定的要求。利用模糊控制规则在线对PID参数进行修改，便构成了自适应模糊PID控制器。
-procedure for fuzzy PID control procedures, adaptive fuzzy PID controller error e and e error rate of change as input to meet the different moments of e and e PID tuning parameters from the request. Fuzzy-control rules on PID parameters changed, they constitute the adaptive fuzzy PID controller. Platform: |
Size: 1024 |
Author:红光 |
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Description: 由具有自学习和自适应能力的单神经元构成的单神经元自适应智能PID控制器，不但结
构简单，而且能适应环境变化，有较强的鲁棒性。
-By a self-learning and adaptive capacity of single neurons constitute the single neuron adaptive intelligent PID controller is not only simple in structure, but also to adapt to environmental changes, has a strong robustness. Platform: |
Size: 1024 |
Author:feiyang |
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Description: 基于BP神经网络的 参数自学习控制
（1）确定BP网络的结构，即确定输入层节点数M和隐含层节点数Q，并给出各层加权系数的初值 和 ，选定学习速率 和惯性系数 ，此时k=1；
（2）采样得到rin(k)和yout(k)，计算该时刻误差error(k)=rin(k)-yout(k)；
（3）计算神经网络NN各层神经元的输入、输出，NN输出层的输出即为PID控制器的三个可调参数 ， ， ；
（4）根据(3.34)计算PID控制器的输出u(k)；
（5）进行神经网络学习，在线调整加权系数 和 ，实现PID控制参数的自适应调整；
（6）置k=k+1，返回（1）。
-Based on the parameters of BP neural network self-learning control (1) to determine the structure of BP network, that is, determine the input layer nodes M and hidden layer nodes Q, and gives all levels of the initial value and the weighted coefficient, the selected learning rate and inertia coefficient, when k = 1 (2) sample has been rin (k) and the yout (k), calculate the moment of error error (k) = rin (k)-yout (k) (3) calculation of neural network NN all floors of the neurons in input and output, NN output layer is the output of PID controller for the three adjustable parameters,, (4) According to (3.34) Calculation of PID controller output u (k) (5) to carry out neural network learning, on-line adjustment of the weighted coefficient and, realize the adaptive PID control parameters adjust (6) purchase k = k+ 1, return (1). Platform: |
Size: 1024 |
Author:dake |
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Description: 模糊自适应PID控制器的设计，基于模糊控制，设计了模糊自适应PID控制器，介绍了这种PID控制器的特点及参数设计规则，通过MATLAB仿真实现-Fuzzy adaptive PID controller design, based on the fuzzy control, the design of adaptive fuzzy PID controller, described the characteristics of such a PID controller design rules and parameters, through the MATLAB simulation Platform: |
Size: 310272 |
Author:李莉 |
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Description: 基于Heeb监督的单神经元自适应PID控制器S函数程序-Heeb supervision based on single neuron adaptive PID controller function S procedures Platform: |
Size: 1024 |
Author:yinuo |
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Description: 本文讨论了神经网络PID控制策略，提出了一种单神经元自适应PID控制器，给出了控制模型，探讨了单神经元自适应PID控制学习算法，通过修改神经元控制器连接加权系数 ，构成了自适应PID控制器。利用神经网络的自学习能力进行PID控制参数的在线整定，并使用了MATLAB软件进行了仿真研究。比较传统PID控制器与单神经元自适应PID控制器两者的仿真结果表明，神经网络PID控制器参数调节简单，具有很高的精度和很强的适应性，可以获得满意的控制效果。-This paper discusses the nerve network PID control strategy and a single neural and adaptive PID controller is presented, and it s model is given here. The algorithm of PID controller is explored by revising the weighted coefficient . Make use of the study ability of the nerve network to turing the PID control parameter, and proceeds the simulation research using matlab software. From the simulation results, it is can be shown that Neural Network PID controller have the higher accuracy and stronger adaptability, and can get satisfied control result.
Key Words: PID；single Neuron；self-adaptive
Platform: |
Size: 7168 |
Author:大同小异 |
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Description: 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。matlab实践研究。-In this paper, fuzzy control technology, the design of a two input and three output fuzzy self-tuning PID controller of the boiler drum water level control, the realization of the adaptive PID parameters. Using MATLAB simulation of control systems. Results show that the controller self-tuning capability and robustness stronger than the traditional PID controller, fast response, high accuracy and false at the same time the water level has good control effect. Practice matlab. Platform: |
Size: 1248256 |
Author:赵洪森 |
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Description: < 控制系统计算机辅助设计--MATLAB语言与应用>>系统地介绍了国际控制界最流行的控制系统计算机辅助设计语言MATLAB，侧重于介绍MATLAB语言编程基础与技巧、数学问题的MATLAB求解、线性系统计算机辅助分析、控制系统与其他复杂系统的Simulink建模，控制系统的计算机辅助设计方法，包括串联控制器、状态反馈控制器、多变量系统频域设计、PID控制器设计、最优控制器设计、LQG/LTR控制器设计、H2=H1 最优控制、分数阶控制、自适应控制、模糊控制、神经网络控制、遗传算法优化控制等。本电子文档为其源码光盘内容，源码多多，利于学习参考。-"" Control System for Computer-Aided Design- MATLAB language and application of "" a systematic introduction to the international control of world s most popular computer-aided control system design language MATLAB, introduced the MATLAB language programming focusing on the foundation and skills, the MATLAB mathematical problem solving, computer-aided analysis of linear systems, control systems and other complex systems Simulink modeling, control system, computer-aided design methods, including serial controller, state feedback controller, multi-variable system, frequency-domain design, PID controller design, optimal controller design, LQG/LTR controller design, H2 = H1 optimal control, fractional order control, adaptive control, fuzzy control, neural network control, genetic algorithm to optimize control. This electronic document its source code CD-ROM content, source code lot, conducive to learning for reference. Platform: |
Size: 2137088 |
Author:任勇 |
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Description: 目前，PID控制及其控制器或智能PID控制器（仪表）已经很多，产品已在工程实际中得到了广泛的应用，有各种各样的PID控制器产品，各大公司均开发了具有PID参数自整定功能的智能调节器(intelligent regulator)，其中PID控制器参数的自动调整是通过智能化调整或自校正、自适应算法来实现.-At present, PID control and its controller or intelligent PID controller (instrument) has a lot of products have been obtained in engineering practice, a wide range of applications, PID controller, a wide range of products, the major companies have developed with the PID parameter self-tuning capabilities of smart regulator (intelligent regulator), which automatically adjusts the PID controller parameters is through intelligent adjustment or self-tuning, adaptive algorithms to achieve. Platform: |
Size: 35840 |
Author:代玉梅 |
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Description: 传统PID控制器通常难以满足多变量、非线性、强耦合的步进电机动态响应和精
确调速要求,结合传统PID控制和模糊控制及遗传算法(GA)整定PID参数的优点,设计基于
模糊遗传算法的实时自适应步进电动机PID控制器,充分发挥传统和智能控制策略各自的优
势。仿真结果表明,该实时自适应步进电动机PID控制器,具有很好的自适应能力和抗负载扰
动能力。在稳定性、动态速度响应诸方面均优于传统的PID控制器和模糊控制器,系统达到了
较高调速性能和控制精度。
-Traditional PID controller is often difficult to meet the multi-variable, nonlinear, strong coupling dynamics of stepping motor response and accurate speed control, combining the traditional PID control and fuzzy control and genetic algorithm (GA) 整 PID parameters set the advantages of the design based on fuzzy Adaptive genetic algorithm in PID controller, stepper motor, give full play to traditional and intelligent control their own advantages. Simulation results show that the real-time adaptive PID controller, stepper motor, has good adaptive ability and resistance to load disturbances. The stability of the dynamic speed response is superior to the traditional aspects of PID controller and fuzzy controller, the system reached a high speed performance and control precision. Platform: |
Size: 466944 |
Author:孙文 |
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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: 为了改善无刷直流电机的调速性能 ,针对普通模糊 P ID速度控制器的缺陷 ,研究了基于变论域思想的自适应模糊 P ID控制器及其在 BLDCM控制系统中的应用。-To improve the performance of brushless DC motor speed, the speed for ordinary fuzzy P ID controller defect of thought based on variable universe adaptive fuzzy P ID controller and its control system BLDCM. Platform: |
Size: 623616 |
Author:guoj |
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Description: 人工神经网络(Artificial Neural Network)是从生理角度对智能的模拟，具有极
高的学习能力和自适应能力，能够以任意精度逼近任意函数，完成对系统的仿真；
而遗传算法是对自然界生物进化过程的模拟，具有极强的全局寻优能力，这两种
算法都是当下研究较多的智能方法。将这两种方法与常规的 PID 控制相结合，
构成智能 PID 控制器，使其具有参数自整定、自适应的能力，以适应复杂环境
下的控制要求，这一思路对提高控制效果具有很好的现实意义。
-Artificial Neural Network (ANN) is an imitation of the intelligence by the point of physiological. It has a high capacity of learning and adaptive, can approximate any function to arbitrary accuracy, and complete the simulation of the system. The Genetic
algorithm is a simulation of natural biological evolution, which has a strong ability of
global optimization. These two algorithms are more intelligent method of current
research. The idea of combining these two methods with the conventional PID
controller to be a intelligent controller with the abilities of parameter auto-tuning and
adaptive for the requirements of the complex environment, has a high practical
significance of improving the control effect.
Platform: |
Size: 661504 |
Author:baijiaxuan |
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Description: this is a MATLAB Simulation for a Adaptive PID controller based on a sliding mode for uncertain chaotic systems. Platform: |
Size: 10240 |
Author:siamak |
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