Often, the engineering team at Intellimech is tasked with delivering a solution that requires an unconventional, innovative approach to accomplish our partners’ objective. Encompassing and applying our know-how, from custom servo-controlled mechanisms and high-precision motion systems to fast real-time control and cutting-edge machine vision and sensing tools, allows us to push the boundaries of what’s possible in automation. One tool employed by our engineers is the Kalman filter, created by its namesake Rudolf Kálmán and published in 1960. Whether developing a control algorithm for a complex process or designing a force control method in MATLAB, the Kalman filter is indispensable. Kalman filters are a powerful and versatile tool for automation systems. They provide a way to process data in real-time and make decisions quickly, which is essential for many automation processes. Kalman filters are based on a mathematical model that combines statistical methods and state-space equations. This model is designed to be adaptive, meaning it can adjust its parameters in response to changing conditions and inputs. This makes Kalman filters useful for tasks that require accurate estimation and filtering of data. Kalman filters are used for a variety of automation tasks, such as tracking moving objects, detecting anomalies in sensor data, and estimating the state of a system. They are also used for tasks that require accurate data, such as navigation and control. In this article from MIT Technology Review, the background and far-reaching impact of this versatile tool is explored. If you’re facing a challenge that requires in-depth engineering knowledge and versatile capability for your custom solution, connecting with Intellimech today can be the first step on the path to realizing your application.
Automation. Control. Mechatronics.