Dynamic Response and Fuzzy Control of Magnetically Driven Artificial Cardiovascular Muscle

Artificial muscle is an emerging class of materials gaining traction in soft robotics and biomedical engineering due to its exceptional mechanical and electromechanical performance. Its potential is especially notable in interventional medical applications, such as cardiovascular therapies. However, the superelastic nature of artificial muscle complicates the establishment of a clear stress-strain constitutive relationship, leading to highly nonlinear deformation behavior. Existing analytical frameworks and computational constraints in solid mechanics currently impede the creation of precise dynamic models. As a result, experimental methods remain the primary means of investigating artificial muscle actuation. To overcome this challenge, this paper centers on magnetically actuated artificial muscles and introduces a fuzzy control strategy tailored to their dynamics. Leveraging an initial dynamic model grounded in finite deformation theory and the solid mechanics of magnetic soft materials, the actuation response is actively controlled and optimized. The efficacy of the proposed approach is demonstrated through a co-simulation case study involving a rectangular voxel subjected to a uniform magnetic field.