Technical Articles

  • Tuning a PID Controller Without a Plant Model

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  • Adaptive DPD Design

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  • Inverting a Robotics Classroom with MATLAB and a MOOC

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This article describes a workflow for creating a plant transfer function from input-output test data and using it to automatically tune PID controller gains. The entire workflow is completed using the PID Tuner app in Control System Toolbox™.
Oct 2014
This article illustrates a top-down methodology for the design and FPGA implementation of a DPD, from an algorithmic description DPD in MATLAB to design elaboration in Simulink and HDL code generation for FIL testing.
Jul 2014
Georgia Institute of Technology students learn control theory from MOOC videos, and spend classroom time developing controllers in MATLAB® and working with Khepera III robots.
Dec 2013
A challenging controls project gives many students the skills of seasoned engineers well before they graduate.
Feb 2012
Nujira’s envelope-tracking technology doubles a PA’s efficiency from 30% to 60%.
Oct 2010
A low-cost, portable aeropendulum enables active, sensory learning that gets students excited about control system design.
Jan 2010
Model-Based Design enabled IAV to reduce their mass-production ECU development process from three years to just 18 months.
Nov 2009
Even engineers who are not controls experts can quickly design and tune PID controllers using this simple method.
Nov 2009
Students use MATLAB and Simulink to process lab data and model and simulate open-and closed-loop systems. Simulink and Real-Time Windows Target enable them to connect control design theory with practical implementation.
Feb 2009
As any airline passenger who has experienced moderate turbulence knows, an aircraft is not a rigid structure. In certain circumstances, the complex interaction between the flexible structure and the aerodynamics can produce undesirable effects.
Nov 2007
A history of the digital autopilot that landed men on the Moon 30 years ago.
Jun 1999

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