Robust Control of a Multi-Axis Shape Memory Alloy-Driven Soft Manipulator

Control of soft robotic manipulators remains a challenge for designs with advanced capabilities and novel actuation. Two significant limitations are multi-axis, three-dimensional motion of soft bodies alongside actuator dynamics and constraints, both of which are present in shape-memory-alloy (SMA)-powered soft robots. This article addresses both concerns with a robust feedback control scheme, demonstrating state tracking control for a soft robot manipulator of this type. Our controller uses a static beam bending model to approximate the soft limb as an LTI system, alongside a singular-value-decomposition compensator approach to decouple the multi-axial motion and an anti-windup element for the actuator saturation. We prove stability and verify robustness of our controller, with robustness intended to account for the unmodeled dynamics. Our implementation is verified in hardware trajectory tracking tests of a soft SMA-powered limb with accurate, promising results for future multi-limbed robots.

Automated summary

This article presents a robust feedback control scheme for addressing the challenges of controlling soft robotic manipulators with advanced capabilities. By using a static beam bending model and a singular-value-decomposition compensator approach, the authors successfully achieved state tracking control and verified the effectiveness of the method through hardware trajectory tracking tests. The results show promise for future multi-limbed robots.