Home /Research /Modeling and Control of a Bioinspired, Distributed Electromechanical Actuator System Emulating a Biological Spine
LOCOMOTION

Modeling and Control of a Bioinspired, Distributed Electromechanical Actuator System Emulating a Biological Spine

Bonhyun Ku, Arijit Banerjee

Year
2024
Citations
3

Abstract

The robotic spine has a lot of potential for snake-like, quadruped, and humanoid robots, as it can improve their mobility, flexibility, and overall function. A common approach to developing an articulated spine uses geared motors to imitate vertebrae. Instead of using geared motors that rotate 360 degree, a bioinspired gearless electromechanical actuator was proposed and developed as an alternative, specifically for humanoid spine applications. The actuator trades off angular flexibility for torque, while the geared motor trades off speed for torque. This article compares the proposed actuator and conventional geared motors regarding torque, acceleration, and copper loss for a vertebra's angular flexibility. When its angular flexibility is lower than 14<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula>, the proposed actuator achieves higher torque capability without gears than with conventional motors. Lower angular flexibility, which means smaller airgaps, allows the proposed actuator to produce a much stronger torque for the same input power. The actuator's nonlinear electrical and mechanical dynamics models are developed and used for position control of a six-module distributed spine. In addition, two different position-control architectures are developed: an outer loop proportional-integral (PI) position controller with an inner loop PI current controller and an outer loop PI position controller with an inner loop PI torque controller.

Keywords

SPINE (molecular biology)ActuatorComputer scienceControl engineeringBiomimeticsControl theory (sociology)Control (management)EngineeringArtificial intelligenceBiology

Related papers

Browse all LOCOMOTION papers