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Control System Toolbox

Control System Toolbox
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Control System Toolbox Design and analyze control systems 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. Control System Toolbox is included in MATLAB and Simulink Student Version. Key Features ▪ 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 ▪ LAPACK and SLICOT algorithms optimized for accuracy and performance

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H Control and Estimation Tools Manager Current Ardiitertue: contrd flf dilectLf c .. ■ ] MaAfysd1tectifrrlibeband FHd»d: signs. Locpccongtfaoon... j Configure sddtkma! two openings fbrmu'tHDop ... System Pan ... ] [n^t dab end fated systere- | Samp* Tmc Cocr. tr^ion . | Change ths sampJ* tone of tha itsign. j rtjltmodd configjflbon ... change Bic nwtnaj pfcsnt and rrcJChiMld dcbors. | SISQ Desqn Tjsfc Hade. 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...

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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. 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. You can represent PID...

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Feedback Loop Diagram % Code that creates and % analyzes the feedback system % Specify s as Laplace variable % Create plant transfer function % Form feedback loop % Calculate and plot step response fir f* in 1ml T«* bfiug tnkxo irnt> neb > MATLAB code for creating and analyzing a feedback loop with controller C and plant model G. The plant is modeled as a first-order transfer function with a delay off seconds. Analyzing Models Control System Toolbox provides extensive GUIs and command-line functions for analyzing linear models. Using the LTI Viewer GUI, you can view and compare the time and...

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File Edit Window Help Step Response BDde Diagram Frequency (rad/sec) Change the number and type of response plots shown in this LTI Viewer. LTI Viewer GUI, an interactive tool for analyzing linear models in the time and frequency domains. You can compare several linear models at once using a variety of time-domain and frequency-domain plots. Tuning Control Systems Control System Toolbox lets you systematically tune control system parameters using SISO and MIMO design Control System Toolbox provides tools for manipulating and tuning PID controllers through the PID Tuner GUI ■ Use PID objects...

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Tuning SISO Controllers The SISO Design Tool in Control System Toolbox lets you the design and analyze SISO control systems. You can: ▪ Design common control components, such as PIDs, lead/lag networks, and notch filters ▪ Graphically tune SISO loops using classical tools, such as root locus, Bode diagrams, and Nichols charts ▪ Monitor closed-loop responses and performance requirements in real time while tuning your controller ▪ Evaluate design factors, such as choice of sample time and controller complexity Control System Design with SISO Design Tool 8:59 Design control systems with SISO...

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