• Compute PID gains, linearize models, and design control systems using Simulink Control Design™.
  • Design a PID controller for a DC motor modeled in Simulink ® . Create a closed-loop system by using the PID Controller block, then tune the gains of PID Controller block using the PID Tuner.
    Use the frequency response-based PID tuning method to automatically tune the gains for a model that does not linearize due to pulse-width modulation discontinuity.
    Deploy PID autotuning algorithm to embedded software. Run the PID autotuning algorithm to conduct a real-time experiment on plant hardware and to automatically compute PID controller gains.
    Tune PID controller gains for the inner voltage loop and outer speed loop of a BLDC motor controller.
  • Trim and linearize a nonlinear aircraft model and use the resulting linear model to design a pitch rate damper controller.
  • Design a PID controller for a model that cannot be linearized. Use system identification to identify a plant model from simulation input-output data.
  • Design and implement a gain-scheduled PID controller for a continuous-stirred tank reactor using Simulink Control Design™.
  • Estimate the frequency response of a Simulink ® model using simulation.
  • Create a script to do batch mode trimming and linearization of Simulink ® models.
  • Learn how to get started with using MATLAB ® and Simulink ® products for designing control systems.
  • Automatically tune a multivariable flight control system using the Control System Tuner app.
  • Automatically tune a cascaded multi-loop control system for a DC motor using Control System Tuner app.
  • Design a decoupling controller for a distillation column with Simulink ® Control Design™.
  • This video introduces the concept of linearization and describes trimming and operating points, which will help you understand how linearization is used and why it’s helpful.
  • This video describes some of the snags that can be avoided when linearizing realistic nonlinear models if we have a more practical understanding of how linearization is accomplished.