Description: 本人调试的大作业（源程序模型+论文），主要包括PID控制、模糊控制、神经网络控制、遗传算法优化神经网络控制（使用了遗传工具箱GAOT）对同一系统所作的仿真比较，并加入饱和、死区、时滞等非线性后的响应，具体的分析比较过程论文中写的很详细。-I debug a big operation (source model+ Thesis), including PID control, fuzzy control, neural network control, genetic algorithm optimization of neural network control (using a genetic toolbox GAOT) on the same system simulation by the comparison, and to join saturation, dead zones, such as nonlinear time-delay after the response, the specific analysis of the comparison process paper written in great detail. Platform: |
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Author:hcnden |
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Description: 倒立摆是一种复杂、时变、非线性、强耦合、自然不稳定的高阶系统，许多抽象的控制理论概念都可以通过倒立摆实验直观的表现出来。基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。输入层分别为小车的位移和速度、摆杆偏离铅垂线的角度和角速度。隐含层单元数16个。输出层设置为1个输出单元。输入层采用Tansig函数，隐含层采用Logsig函数，输出层采用Purelin函数。用Matlab 6.5数值计算软件对模型进行学习训练，并与线性反馈控制逻辑算法对比，表明倒立摆控制BP算法精度高、收敛快，在非线性控制、鲁棒控制等领域具有良好的应用前景。 -Inverted pendulum is a complex, time-varying, nonlinear, strong coupling, the natural instability of the high-end systems, many of the abstract concept of control theory to pass through the inverted pendulum experiment demonstrated intuitive. Based on artificial neural network BP algorithm inverted pendulum experiment simulation training model car, the Inverted Pendulum BP network input 3-layer structure of 4. Input layer, respectively, for the car s displacement and speed of deviation from the plumb line placed under the angle and angular velocity. Hidden layer unit number 16. Output layer is set to an output unit. Tansig function using input layer, hidden layer Logsig function used, the output layer Purelin function. Numerical calculation using Matlab 6.5 software for learning and training model, and linear feedback control logic algorithm comparison, show that the inverted pendulum control of BP algorithm and high precision, fast convergence in nonlinear control, robust control and Platform: |
Size: 217088 |
Author:月到风来AA |
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Description: 广义预测控制的matlab程序编写
现在预测控制的瓶颈是模型的建立和优化方法的选择.
模型要足够精确,对于非线性系统的建模,现在没有一套统一高效的方法.
-Generalized Predictive Control of matlab programming bottleneck now is the predictive control model and the choice of optimization method. Model should be sufficiently accurate for modeling nonlinear systems, there is no efficient way to a unified set. Platform: |
Size: 1024 |
Author:wanbing |
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Description: Developing Models from Experimental Data using System Identification Toolbox-1. webinar_walk_through.m: contains all the linear and nonlinear estimation examples presented during the webinar.
2. Data files and Simulink models: process_data.mat, ExampleModel.mdl, Friction_Model.mdl. Any other data files used in the presentation already ship with the toolbox (ver 7.0).
Products used:
- You basically need only System Identification Toolbox (SITB) to try out most examples.
- To use Simulink blocks, you would, of course, need Simulink.
- Control System Toolbox is used at one place to show how estimated models can be converted into LTI objects (SS, TF etc)
- Optimization Toolbox will be used if available for grey box estimation. If not, SITB s built-in optimizers will be used automatically.
- Other products mentioned: Neural Network Toolbox, Model Predictive Control Toolbox and Robust Control Toolbox.
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Size: 34816 |
Author:陈翼男 |
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Description: 径向基函数网络实现非线性系统的参考模型自适应控制，matlab程序，注释非常详细。-Radial basis function networks of nonlinear systems model reference adaptive control, matlab program, very detailed comments. Platform: |
Size: 1024 |
Author:xqxq |
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Description: in this work we have tried to control a tanker ship using fuzzy logic and fuzzy controllers.
it s well known that we can use fuzzy logic for control purposes in two ways,first we can use fuzzy logic to make a model of the plant and use conventional controllers to control the whole system controllers like PID,or nonlinear methods like Sliding mode control or ...
on the other hand we can use fuzzy logic algorithms and methods for direct control of the plants.
in this work we have used the second one and have propsed a fuzzy algorithm to control the tanker vehicle directly. Platform: |
Size: 4096 |
Author:hamed |
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Description: 开关磁阻电机作为一种电动调速系统具有结构简单坚固、低成本、高容错性能以及高速运行的能力,目前它越来越广泛的应用于航空和汽车上的起动/发电系统,具有很大的潜力。要对开关磁阻电机进行深入的理论分析,就需要对其建立一个准确而又有实用性的模型。而 MATLAB 软件具有强大的矩阵和数学计算功能,利用它的模块之一 SIMULINK 建模有着界面友好、易于进行参数修改等特点。国内利用 MATLAB 软件对开关磁阻电机进行建模主要分两大类:一部分是采用 M 文件编程的方法 另一部分是利用开关磁阻电机的线性电感模型或者准线性模型进行建模分析。两者都没充分利用MATLAB/SIMULINK 的主要功能。 本文将基于 MATLAB/SIMULINK 对开关磁阻电机进行非线性建模研究。-Switched reluctance motor as an electric control system has a simple structure robust, low cost, high fault tolerance and high-speed operation capability, now it is increasingly widely used in aerospace and automotive starter/generator system, with great potential. To SRM-depth theoretical analysis, we need to have their precise and practical to build a model. The MATLAB software has powerful matrix and mathematical calculations, use one of its modules, SIMULINK modeling has friendly interface, easy to modify the parameters and so on. Domestic use of MATLAB software to model the SRM two main categories: one is programming method using M files the other part is the use of switched reluctance motor or a linear inductance model to model quasi-linear model analysis. Both did not make full use of MATLAB/SIMULINK s main functions. This will be based on MATLAB/SIMULINK for nonlinear modeling of SRM research.
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Author:王明 |
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Description: DMC控制由于具有对模型精度要求低，控制精度高鲁棒性强等优点可有效的克服过程的不确定性、非线性和关联性，并能方便的处理过程被控量和操纵变量中的各种元素。所以对该系统应用DMC控制方法进行MATLAB仿真。-DMC control accuracy because the model has low and high control precision and strong robustness advantages of the process can effectively overcome the uncertainty, nonlinear, and relevance, and to facilitate the processing and manipulation of variable charges in the amount of various elements. Therefore, application of the system control method DMC MATLAB simulation. Platform: |
Size: 145408 |
Author:马永晶 |
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Description: 详细介绍了MATLAB与控制工程相关的6个基础工具箱：系统辨识工具箱、控
制系统工具箱、鲁棒控制工具箱、模型预测控制工具箱、模糊逻辑工具箱和非线性控制设计模块。同时提供了MATLAB的一些基础知识。-Details related to MATLAB and Control Engineering of the six basic kit: System Identification Toolbox, Control System Toolbox, Robust Control Toolbox, Model Predictive Control Toolbox, Fuzzy Logic Toolbox and nonlinear control design module. Also provides some basic knowledge of MATLAB. Platform: |
Size: 3219456 |
Author:zhangxin_ivy |
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Description: 非线性控制时滞系统迭代学习控制算法仿真
通过MATLAB与SIMULINK的结合建立给定系统的迭代学习控制仿真的模型。-Nonlinear control delay systems iterative learning control algorithm simulation establishment of a given system through the combination of MATLAB and SIMULINK iterative learning control simulation model. Platform: |
Size: 15360 |
Author:戴明祥 |
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Description: 首先提出了基于微分几何控制理论的双馈发电机非线性多输入多输
状态反馈解藕控制方案，通过非线性坐标变换和非线性状态反馈，使双
发电机的磁链和转速两个子系统实现了动态完全解藕。其次采用基于定
磁场定向的双馈发电机矢量控制，实现定子侧有功功率和无功功率的解藕
为了消除交叉藕合电动势对发电机参数的影响，采用内模控制解藕控制
案，使系统具有良好的输出动态性能。最后在分析双馈发电机的数学模
和矢量控制的基础上，提出了一种基于模型参考自适应方法的定子、转
磁链观测、发电机转速估计和转子电阻辨识算法，应用Lyapunov原理证
了估计的收敛性，并应用于上述解藕控制方案中。在对算法进行理论推
的基础上，应用Matlab/simulink，对各个算法和系统进行了仿真，检验了
算法和控制方案的可行性。
-First proposed nonlinear multi-input multi-input state feedback the decoupled control programs through nonlinear coordinate transformation and nonlinear state feedback control theory based on differential geometry doubly-fed generator, dual generator flux and speed sub-systems to achieve the dynamic completely decoupled. Secondly, based on the fixed magnetic field oriented vector control of doubly-fed generator stator side active power and reactive power decoupling in order to eliminate the cross-coupling of the electromotive force of the generator parameters using the internal model control decoupling control case, so that the system which has good dynamic performance. Finally, in the analysis of the doubly-fed generator based on the mathematical model, and vector control, a method based on the model reference adaptive stator, turn flux observer, generator speed estimation and rotor resistance identification algorithm using the Lyapunov principle permit estimated convergence, and appl Platform: |
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Author:zhangjie |
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Description: 时间序列分析是根据系统观测得到的时间序列数据，通过曲线拟合和参数估计来建立数学模型的理论和方法。它一般采用曲线拟合和参数估计方法（如非线性最小二乘法）进行。时间序列分析常用在国民经济宏观控制、区域综合发展规划、企业经营管理、市场潜量预测、气象预报、水文预报、地震前兆预报、农作物病虫灾害预报、环境污染控制、生态平衡、天文学和海洋学等方面。(Time series analysis is the theory and method of establishing mathematical model by curve fitting and parameter estimation according to time series data obtained from system observation. It usually uses curve fitting and parameter estimation methods (such as nonlinear least squares). Time series analysis is commonly used in the national economy macro control, regional comprehensive development planning, enterprise management and market potential prediction, weather forecasting, hydrological forecasting, earthquake prediction, pest disaster forecasting, environmental pollution control, ecological balance, astronomy and oceanography etc..) Platform: |
Size: 1555456 |
Author:Terrier
|
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Description: 主要利用MATLAB simulink模块对3 自由度的机械手臂进行建模仿真分析，并对模式中的各个模块进行非线性反馈控制，提高系统的鲁棒性，并对各模块的参数进行监控调整。(The MATLAB Simulink module is used to simulate and analyze the 3 degree of freedom mechanical arm, and the nonlinear feedback control of each module in the model is carried out to improve the robustness of the system, and the parameters of each module are monitored and adjusted.) Platform: |
Size: 30720 |
Author:唐纳德12 |
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Description: 航天器姿态控制仿真程序，利用simulink中sfunction方法建立航天器姿态动力学模型和运动学模型，利用linmod对非线性模型线性化。(The simulation program of spacecraft attitude control uses the sfunction method of Simulink to establish the dynamic model and kinematic model of spacecraft attitude, and uses limod to linearize the nonlinear model.) Platform: |
Size: 8192 |
Author:woyaokaobo |
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