Advancing trajectory tracking control of pneumatic artificial muscle-based systems

Advancing trajectory tracking control of pneumatic artificial muscle-based systems

Pneumatic artificial muscles (PAMs) are artificial devices that can simulate the mechanics of human muscles, and have shown great promise in industries requiring human-robot interaction systems. Despite their potential, controlling the trajectory performance of PAM-based systems is challenging owing to their nonlinear characteristics. Now, researchers have developed a novel adaptive sliding mode controller that uses fuzzy logic to estimate PAM-b…

Advancing trajectory tracking control of pneumatic artificial muscle-based systems

PAM expertise has widespread applicability in varied industries. However exact monitoring of the PAM-based’s programs parameters is essential and but difficult for conventional management strategies. The adaptive fuzzy sliding mode management (AFSMC) for PAM-based programs proposed by researchers from Japan displays enhanced controller efficiency and memorable adaptability to sudden exterior disturbances, swiftly returning to the unique trajecto…