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...
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...
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...
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...
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....
Prior to joining Quanser I was a graduate student at U of T’s Institute for Aerospace Studies. In this blog I thought I share my experience taking their Robotics (AER 525) course as a grad student as well as developing...
