Description: PMSM直接转矩控制系统的空间辨识,辨识出系统介次,和状态空间模型,从而调节控制器参数-PMSM Direct Torque Control System Identification, identify system Kaiji, and the state-space model, adjust the controller parameters Platform: |
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Description: 模型参考自适应控制系统由参考模型、受控对象、控制器和自适应律等组成。系统设计的核心是综合和设计控制器和自适应规律，使系统能稳定跟踪参考模型的输出[2]。近年来，对时变系统的自适应控制的研究已取得了较大的进展。在文[3]的基础上，本文针对线性时变系统的一种改进的模型参考自适应控制方案进行仿真研究，仿真结果说明了该控制方案的可行性。-Model reference adaptive control system consists of a reference model, the controlled object, controller and adaptive laws such as the composition. Is the core of system design and design of integrated controller and adaptive laws, enables the system to stabilize the output of reference model tracking [2]. In recent years, of time-varying systems of adaptive control research has been made greater progress. In the text [3] on the basis of this paper, linear time-varying systems A modified model reference adaptive control program simulation study, simulation results illustrate the feasibility of the control program. Platform: |
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Author:zl |
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Description: 这个是 系统辨识与自适应控制MATLAB仿真一书中的 源程序，现在免费给大家分享了！有需要的朋友抓紧了！-This is the system identification and adaptive control of MATLAB simulation of a source book, now free for everyone to share! The need to pay close attention to a friend! Platform: |
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Author:梁鑫 |
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Description: 摘要:本文旨在研究一种能对复杂热工对象的有效建模方法。基于遗传算法的辨识方法有较强的抗干扰能力,对低、高阶系统、延时系统都可以达到很好的辨识效果。根据单元机组的低阶非线性模型,推导出一个双进双出、能够描述机组动态特性及机炉间相互耦合关系的协调控制系统传递函数矩阵。依次模型为基础,提出一种基于改进的遗传算法的参数辨识方法。-Abstract: This paper aims to study a thermal complex objects can be an effective modeling method. Identification method based on genetic algorithm has strong anti-jamming ability, low, high-end systems, delay systems can achieve very good recognition results. According to unit power plant low-level non-linear model, derived a double inlet and outlet, can describe the dynamic characteristics and boiler-turbine unit is coupled between two relations, coordination and control system transfer function matrix. Turn model was proposed based on improved genetic algorithm based on parameter identification method. Platform: |
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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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Author:陈翼男 |
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Description: This a good document for active noise cancellation (ANC) simetimes called Adaptive noise control system.-This is a good document for active noise cancellation (ANC) simetimes called Adaptive noise control system. Platform: |
Size: 31744 |
Author:wave |
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Description: 预测控制是一种新型的控制算法之一。经典的PID控制方法简单方便,但是精度不高。近年来发展的自适应、自校正方法精度高,但其本质要求在线辨识对象模型,对过程的未建模动态和扰动的适应能力差,鲁棒性不好。预测控制方法集PID和自适应方法二者之长,是一种面向工业过程特点、对模型要求低、在线计算方便、控制精度高的算法。数字计算机向小型、高速、大容量、低成本方向的发展,为预测控制这类新算法的实现提供了物质基础。 本文以PCT—Ⅲ型过程控制系统装置为平台,将预测控制算法运用到实际系统中去,该装置分为水位系统和温度系统。本文是将多步预测控制算法运用到温度系统。应用控制软件采用北京亚控公司的组态王软件(KingView),它界面设计能力强,也可以简单编程,但计算能力差,不能进行矩阵计算。而在温度多步预测控制中,计算量大,编程复杂,因此引入Matlab软件解决计算和编程,要解决的问题是MATLAB和组态王的数据交换,采用动态数据交换技术(DDE)。 预测控制算法有多种,本文采用的是动态矩阵控制方法(DMC)。-Predictive control is one of a new control algorithm. The classic PID control method is simple, but the accuracy is not high. In recent years the development of adaptive, self-calibration method is accurate, but its object model online identification of the essential requirements of the process unmodeled dynamics and disturbances poor adaptability, robustness is not good. Prediction and adaptive PID control method sets the length of the two methods is a feature for industrial processes, low requirement on the model, online convenience of calculation, the control algorithm for high accuracy. Digital computers to small, high-speed, large capacity, lower costs of development, such as predictive control implementation of the new algorithm provides the material base. In this paper, PCT-Ⅲ type of process control system devices as a platform, the predictive control algorithm to apply to the actual system, the device is divided into water system and temperature system. This is a multi-step pre Platform: |
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Author:王明 |
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Description: 激光焊接系统的非线性辨识和自适应控制Laser welding system identification and adaptive control of nonlinear-Laser welding system identification and adaptive control of nonlinear Platform: |
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Author:uiu200 |
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Description: 《机器人控制系统的设计与MATLAB仿真》一书所有的matlab仿真程序。本书系统地介绍了机器人控制的几种先进设计方法，是作者多年来从事机器人控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的最新成果。全书以机器人为对象，共分10章，包括先进PID控制、神经网络自适应控制、模糊自适应控制、迭代学习控制、反演控制、滑膜控制、自适应鲁棒控制、系统辨识和路径规划。-" Robot Control System Design and MATLAB simulation," a book all the matlab simulation program. This book introduces several advanced robot control design methods, is the author of the robot control system for many years engaged in teaching and research work of the crystal, while domestic and foreign counterparts into the latest achievements in recent years. Book to the robot as an object, divided into 10 chapters, including advanced PID control, neural network adaptive control, fuzzy adaptive control, iterative learning control, inversion of control, synovial control, adaptive robust control, system identification and path planning. Platform: |
Size: 861184 |
Author:Ben |
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Description: system identification, ARX Model, Control engineering, Data Proce-system identification, ARX Model, Control engineering, Data Process Platform: |
Size: 186368 |
Author:hasan |
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Description: 精密控制结构需要满足先进飞机的使命和对其引航的要求。这就要求飞行器的性能必须满足在低空飞行，低速飞行和大迎角攻击性飞行，全天候，昼夜工作的条件，并且新的控制技术应该成熟。这项工作提出了飞行控制时，状态变量和控制输入是由预先确定的限制范围内的系统控制系统的设计理念。在设计过程使用动态规划的概念。其基本思想涉及非二次泛函最小化。由于一系列限制因素，建议使用光滑函数。同时提出了该综合方法的优点。我们利用对F-18战斗机的纵向控制配置来说明该设计方法。-Indirect adaptive control for reconfigurable flight control is advocated. Specifically,
online static system identification using a moving window/batch estimation is implemented.
The ensuing linear regression is augmented with an intercept. The intercept parameter is
included to address the effects of trim change associated with the occurrence of a control surface
failure. Parameter estimate information is used to adjust the inner loop’s control gains, and
a command derived from the intercept estimate is fed forward to automatically retrim the aircraft.
The tracking performance of this automatic retrimming method, which relies on system
identification, surpasses the conventional approach of exclusively relying on integral action
for retrimming. These adaptive and reconfigurable flight control concepts are illustrated in
the context of a fighter aircraft’s pitch plane dynamics. The novel adaptive and reconfigurable
flight control system successfully handles a 50 per cent horiz Platform: |
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Author:zhouyang |
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Description: 系统辨识与自适应控制MATLAB仿真,一本很不错的参考书-MATLAB simulation of system identification and adaptive control
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Author:bella |
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Description: 《系统辨识与自适应控制》程序，包含最小二乘辨识，模型参考自适应控制和自校正控制等-"System identification and adaptive control procedures, including the least squares identification, model reference adaptive control and self-tuning control Platform: |
Size: 2265088 |
Author:ZHC |
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Description: 系统辨识与自适应控制方面的matlab仿真程序，共6个章节-System identification and adaptive control matlab simulation program, a total of six chapters Platform: |
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Author:huang ruo bing |
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Description: 详细地讲解了MATLAB7.x的功能与相关操作以及MATLAB在控制系统中的仿真应用。《MATLAB控制系统仿真与实例详解》内容包括控制系统仿真基础、MATLAB程序设计语言基础、控制系统理论基础、Simulink交互式仿真环境、控制系统建模、线性控制系统的分析与仿真、PID控制系统设计及仿真、最优控制系统设计、鲁棒控制系统设计、神经网络系统设计及其MATLAB实现、模糊控制系统设计和系统辨识。-MATLAB7.x explain in detail the functions and related operations and MATLAB Simulation in Control System. " MATLAB simulation and control system for example explanation" includes basic control system simulation, MATLAB programming language based on the theoretical basis of the control system, Simulink interactive simulation environment, control system analysis and simulation modeling, linear control systems, PID control system design and simulation, optimal control system design, robust control system design, neural network system design and MATLAB implementation, fuzzy control system design and system identification. Platform: |
Size: 28196864 |
Author:陈震 |
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