Description: 非线性系统鲁棒控制理论的一些新进展_分析比较透彻-Robust control of nonlinear systems theory, some new progress _ a thorough analysis and comparison Platform: |
Size: 188416 |
Author:章必成 |
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Description: 非线性系统的PID鲁棒控制，基于NCD优化的非线性PID控制-Nonlinear systems Robust PID control of NCD-based PID control of nonlinear optimization Platform: |
Size: 1024 |
Author: huangyinrong |
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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: 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.
Platform: |
Size: 34816 |
Author:陈翼男 |
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Description: 一个六自由度火箭的鲁棒控制程序，该程序鲁棒H infinity control, robust loop shaping control 和mu analysis control三种不同的控制算法，并与火箭的非线性模型仿真结果进行了对比。-A six DOF robust control rocket program that robust H infinity control, robust loop shaping control and mu analysis control of three different control algorithms, and nonlinear model rocket simulation results were compared. Platform: |
Size: 37888 |
Author:小方 |
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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.
Platform: |
Size: 973824 |
Author:王明 |
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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: 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: 一类非线性系统模糊自适应鲁棒控制A class of nonlinear systems based on fuzzy adaptive robust control-A class of nonlinear systems based on fuzzy adaptive robust control Platform: |
Size: 205824 |
Author:pen2012 |
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Description: matlab分析控制系统，对线形及非线性系统的鲁棒控制给出了深入研究。-The matlab Analysis control system, gives an in-depth study on the robust control of linear and nonlinear systems. Platform: |
Size: 2624512 |
Author:wentao |
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Description: This paper presents two kinds of adaptive control schemes for robot manipulator which has the parametric uncertainties. In order to compensate these uncertainties, we use the FLS (fuzzy logic system) that has the capability to approximate any nonlinear function over the compact input space. In the proposed control schemes, we need not derive the linear formulation of robot dynamic equation and tune the parameters. We also suggest the robust adaptive control laws in all proposed schemes for decreasing the effect of approximation error. To reduce the number of fuzzy rules of the FLS, we consider the properties of robot dynamics and the decomposition of the uncertainty function. The proposed controllers are robust not only to the structured uncertainty such as payload parameter, but also to the unstructured one such as friction model and disturbance. The validity of the control scheme is shown by computer simulations of a two-link planar robot manipulator. Platform: |
Size: 641024 |
Author:Diamant |
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Description: This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions-This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions Platform: |
Size: 571392 |
Author:axel |
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Description: This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions-This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve
accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estimate the rotor speed. A
nonlinear backstepping control which is based on both feedback laws and Lyapunov theory is easily implemented on a PMSM driver using a
TMS1103 DSP. The effectiveness of the proposed robust speed control approach is demonstrated by simulation and experimental results
instructions Platform: |
Size: 652288 |
Author:axel |
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Description: Nonlinear Control of Dynamic Networks provides a unified framework for robust, quantized, and distributed control under information constraints. Suggesting avenues for further exploration, the book encourages readers to take into consideration more communication and networking issues in control designs to better handle the arising challenges. Platform: |
Size: 4137984 |
Author:zoya |
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Search - Nonlinear Robust Control