Pneumatic Artificial Muscles Get a Boost with Fuzzy Logic

Key Points:

• Pneumatic artificial muscles (PAMs) are artificial devices that mimic the mechanics of human muscles and are used in industries with human-robot interaction systems.
• Controlling the trajectory performance of PAM-based systems is difficult due to the nonlinear characteristics of these muscles.
• Researchers have now developed an adaptive sliding mode controller that employs fuzzy logic to estimate the parameters of PAM-based systems.
• This innovative controller promises to enhance tracking accuracy and adaptability compared to traditional control methods.

Hot take:

PAMs have muscles to flex, but controlling their trajectory performance can be a real pain. However, researchers have come up with a fuzzy solution! By using an adaptive sliding mode controller with fuzzy logic, they have found a way to estimate the parameters of PAM-based systems, offering improved tracking accuracy and adaptability. These innovative controllers are like fuzzy slippers for PAMs, making them more comfortable and precise in their movements.

Original article: https://www.sciencedaily.com/releases/2023/08/230821114355.htm