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Simulink Control Design

Simulink Control Design
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Simulink Control Design Linearize models and design control systems Simulink Control Design™ lets you design and analyze plants and control systems modeled in Simulink® and automatically tune PID controller gains to meet performance requirements You can also find operating points and compute exact linearizations of Simulink models at various operating conditions. Simulink Control Design provides tools that let you compute simulation-based frequency responses without modifying your model. A graphical interface lets you design and analyze arbitrary control structures modeled in Simulink, including cascaded, prefilter, regulation, and multiloop architectures. Learn more about control systems. Key Features ▪ Automatic tuning of PID Controller blocks from the Simulink library ▪ Nonintrusive operating point calculation (trimming) and linearization of Simulink models ▪ Simulation-based computation of a Simulink model’s frequency response ▪ Graphical and automated tuning of arbitrary control systems within Simulink ▪ Numerical optimization of compensators to meet time-domain and frequency-domain requirements (with Simulink Design Optimization™) ▪ MATLAB® functions for developing automated linearization scripts and performing batch linearization Designing and analyzing control systems with Simulink Control Design. A control system modeled in Simulink (top), the PID Tuner interface (left), and the Bode diagram of the open-loop transfer function (right).

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PID Controller Tuning Simulink Control Design provides automatic gain-tuning capabilities for Simulink PID Controller blocks. You can accomplish the initial tuning of a PID controller with a single click. The product linearizes a Simulink model to obtain a linear plant model. If the model linearizes to zero due to discontinuities such as pulse width modulation (PWM), you can create a linear plant model from simulation input-output data using system identification (requires System Identification Toolbox™). The product then uses the linear plant model and a proprietary tuning method to...

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open-loop and closed-loop analysis. The annotations and analysis are nonintrusive and do not affect your model’s simulation behavior. Simulink Control Design automatically computes the linearized model and lets you visualize the results in a step response plot or Bode diagram. A Linearization Inspector is provided to visualize the impact of each block in your Simulink model on the linearization. You can fine-tune your results by specifying the linear behavior of any number of blocks in your model. The linear behavior can be specified as a matrix gain or LTI model, giving you flexibility to...

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Designing a Controller: Wheel Loader 9:09 Design a compensator (PID, etc.] to control a mechatronic system. Use linear control theory to design a control system. You can use the Control System Designer app to: ■ Graphically tune multiple, continuous, or discrete SISO loops ■ Observe loop interactions and coupling effects while tuning parameters ■ Compute compensator designs using systematic design algorithms such as the proprietary Robust Response Time PID tuning, Ziegler-Nichols PID tuning, IMC design, or LQG design ■ Optimize the control loops to meet time-domain and frequency-domain...

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Product Details, Examples, and System Requirements Online User Community www.mathworks.com/products/simcontrol www.mathworks.com/matlabcentra Trial Software Training Services www.mathworks.com/trial request www.mathworks.com/training Sales Third-Party Products and Services www.mathworks.com/contactsales www.mathworks.com/connections Technical Support Worldwide Contacts www.mathworks.com/support www.mathworks.com/contact Accelerating the pace of engineering and science ©2014 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See...

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