Control System Toolbox
产品概览1:56
Control System Toolbox™为系统地分析、设计和调节线性控制系统提供行业标准算法和工具。您可以将您的系统指定为传递函数、状态空间、零极点增益或频率响应模型。通过交互式工具和命令行函数（如阶跃响应图和波特图），您可以实现时域和频域中系统行为的可视化效果。可以使用自动PID 控制器调节、波特回路整形、根轨迹方法、LQR/LQG 设计及其他交互式和自动化方法来调节补偿器参数。您可以通过校验上升时间、超调量、稳定时间、增益和相位裕度及其他要求来验证您的设计。 Control System Toolbox
Design and analyze control systems
Product Overview1:56
Control System Toolbox™ provides industry-standard algorithms and tools for systematically analyzing, designing, and tuning linear control systems. You can specify your system as a transfer function, state-space, pole-zero-gain, or frequency-response model. Interactive tools and command-line functions, such as step response plot and Bode plot, let you visualize system behavior in time domain and frequency domain. You can tune compensator parameters using automatic PID controller tuning, Bode loop shaping, root locus method, LQR/LQG design, and other interactive and automated techniques. You can validate your design by verifying rise time, overshoot, settling time, gain and phase margins, and other requirements.
简介
Control System Toolbox™为系统地分析、设计和调节线性控制系统提供行业标准算法和工具。您可以
将您的系统指定为传递函数、状态空间、零极点增益或频率响应模型。通过交互式工具和命令行函数（如阶跃响应图和波特图），您可以实现时域和频域中系统行为的可视化效果。可以使用自动PID 控制器调节、波特回路整形、根轨迹方法、LQR/LQG 设计及其他交互式和自动化方法来调节补偿器参数。您可以通过校验上升时间、超调量、稳定时间、增益和相位裕度及其他要求来验证您的设计。
主要功能
●线性系统的传递函数、状态空间、零极点增益和频率响应模型螳螂捕蝉教学设计
●线性模型的串联、并联、反馈连接和一般框图连接
●用于分析稳定性和性能指标的阶跃响应、奈奎斯特图以及其他时域和频域工具
●根轨迹图、波特图、LQR、LQG 及其他经典工具和状态空间控制系统设计方法
●自动PID 控制器调节
●模型表示方式转换、连续时间模型离散化和高阶系统的低阶近似
●针对精确度和性能而优化的LAPACK 和SLICOT 算法
Control and Estimation Tools Manager（顶部）是一个基于工作流的GUI，用来交互地分析、设计和调节控制器。可用的工具包括根轨迹图、波特图和阶跃响应图（底部）。
Key Features
豪门保姆日记●Transfer-function, state-space, pole-zero-gain, and frequency-response models of linear systems ●Series, parallel, feedback, and general block-diagram connection of linear models
●Step response, Nyquist plot, and other time- and frequency-domain tools for analyzing stability and
performance measures
●Root locus, Bode diagrams, LQR, LQG, and other classical and state-space control system design
techniques
●Automatic tuning of PID controllers
●Model representation conversion, continuous-time model discretization, and low-order
approximation of high-order systems
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●LAPACK and SLICOT algorithms optimized for accuracy and performance
Control and Estimation Tools Manager (top), a workflow-based GUI that lets you interactively analyze, design, and tune controllers. Available tools include root locus, Bode, and step-response plots (bottom).
使用Control System Toolbox
线性控制技术是控制系统设计和分析的基础。Control System Toolbox 可帮助您创建和操作控制系统
生殖器官
的线性模型。使用交互式可视化工具，您可以分析这些模型，深入了解控制系统的行为、性能和限制。您还可以使用单入/单出(SISO) 和多入/多出(MIMO) 设计方法，系统地调节控制系统参数。
Control System T oolbox 生成的线性模型可用于其他控制设计产品，如Robust Control Toolbox™和Model Predictive Control Toolbox™。您可以使用Simulink Control Design™搭配Control System Toolbox，在Simulink®中进行控制系统设计和分析。
通过PID Tuner GUI，调节由方程式定义的PID 控制器C。您可以自动计算初始设计，然后以交互方式调节响应时间，重新计算PID 增益。
Working with Control System Toolbox
Linear control techniques are the foundation of control system design and analysis. Control System Toolbox lets you create and manipulate the linear models of your control system. Using interactive visualization tools, you can analyze these models to gain insight into your control system’s behavior,
performance, and limitations. Y ou can also systematically tune control system parameters using single-input/single-output (SISO) and multi-input/multi-output (MIMO) design techniques.
Linear models from Control System Toolbox can be used in other control design products, such as Robust Control Toolbox™and Model Predictive Control Toolbox™. Y ou can use Simulink Control Design™ together with Control System Toolbox for control system design and analysis in Simulink®.
Tuning a PID controller C, defined by the equation, with the PID Tuner GUI. You can automatically calculate an initial design and then interactively adjust the response time to recompute PID gains.创建和操作线性模型
Control System Toolbox 可帮助您创建和操作作为对象的系统线性模型。支持所有的标准模型表示形式，包括传递函数、零极点增益、显式和描述器状态空间以及频率响应数据。线性模型可以是SISO 或MIMO、连续或离散的。您可以将PID 控制器表示为PID 对象。而且，您还可以对带有时间延迟的系统进行精确建模和仿真，包括系统的反馈回路有延迟的情况。
Control System Toolbox 提供的命令用于：
●对线性模型进行算术运算
安康汉江网讯●通过简单模型的串联、并联或反馈连接，构建复杂的框图，
缺氧池●对连续时间模型进行离散化处理，
●对高阶模型进行低阶的近似计算，
构建受控对象的线性模型通常是设计控制系统的第一步。如果尚无可用的线性模型，可利用System Identification Toolbox™通过拟合测试数据构建一个线性模型，或使用Simulink Control Design 线性化一个Simulink 模型。一旦创建了线性模型，便可使用Control System Toolbox 分析该模型并设计控制器。
用于创建和分析带有控制器C 和受控对象模型G 的反馈回路的MATLAB 代码。受控对象模型被描述为第一阶传递函数，延迟时间为T 秒。
Creating and Manipulating Linear Models
Control System Toolbox lets you create and manipulate linear models of your control system as objects. All standard model representations are supported, including transfer function, zero-pole-gain, explicit and descriptor state space, and frequency-response data. Linear models can be SISO or MIMO, and continuous or discrete. Y ou can represent PID controllers as PID objects. In addition, you can accurately model and simulate systems with time delays, including feedback loops with delays.
Control System Toolbox provides commands for:
●Performing arithmetic on linear models
●Building complex block diagrams by connecting simple models in series, parallel, or feedback
●Discretizing continuous-time models
●Computing low-order approximations of high-order models
Building a linear model of your plant is usually the first step in designing a control system. If no linear model is available, you can build one by fitting test data using System Identification Toolbox™, or by linearizing a Simulink model using Simulink Control Design. Once you have created a linear model, you can use Control System Toolbox to analyze it and design a controller.
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