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Home / Blog / Control Systems

Control Systems


New Year’s Message from Quanser: From Pendulums to Robots and Beyond!

Control Systems  Robotics & Haptics  Autonomous Systems  Artificial Intelligence  Blog  
January 19, 2023
I love the inverted pendulum! It was my first love in control systems as I watched theory come to life and mathematics hard at work. It is an ideal showcase of the magic of feedback and how harnessing the dynamics...
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Dynamic Abstraction with the Aero 2

Control Systems  Blog  
May 16, 2022
Over the years, Quanser has offered a wide range of aerospace control research platforms. The goal with these platforms, such as the 3DOF Heli experiment was always to provide a unique and repeatable dynamic system upon which new control systems...
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Leveraging the MathWorks® Robust Control Toolbox™ for the Quanser Magnetic Levitation

Control Systems  MathWorks  Blog  
February 25, 2022
The Quanser Magnetic Levitation shown below is a one-dimensional magnetic levitation system. It has an optical ball position sensor and a current sensor to measure the current in the electromagnet coils. The Maglev system is a challenging control systems application...
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Rotary Flexible Link System Identification and LQR Design

Control Systems  MathWorks  Blog  
November 29, 2021
The Quanser Rotary Flexible Link, is a two-degree of freedom system with an actuated rotary servo and a flexible link. It emulates various real-world applications such as lightweight robot manipulators (e.g., in space applications) and cantilever beams. Pictured below, it...
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Online Tuning using Simulink’s Closed-Loop PID Autotuner Block

Control Systems  MathWorks  Blog  
October 16, 2021
I spent a fair bit of time working in the oil and gas industry where you come across many sophisticated control systems. Given the complexity and interconnectivity of those systems, it is often operationally and financially undesirable or even unsafe...
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Using the Reinforcement Learning Toolbox™ to Balance an Inverted Pendulum

Control Systems  MathWorks  Artificial Intelligence  Blog  
September 21, 2021
Reinforcement learning (RL) is a subset of Machine Learning that uses dynamic data, not static data like unsupervised learning or supervised learning. Reinforcement learning is used in many different applications, such as training computer programs to perform certain tasks to autonomous vehicles....
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