Control of a Biomimetic Robot Hand Finger: Classical, Robust, and Intelligent Approaches

Due to the dexterous manipulation capability and low metabolic energy consumption property of the human hand, many robotic hands were designed and manufactured that are inspired from the human hand. One of the technical challenges in designing biomimetic robot hands is the control scheme. The control algorithm used in a robot hand is expected to ensure the tracking of reference trajectories of fingertips and joint angles with high accuracy, reliability, and smoothness. In this chapter, trajectory-tracking performances of different types of widely used control strategies (i.e. classical, robust, and intelligent controllers) are comparatively evaluated. To accomplish this evaluation, PID, sliding mode, and fuzzy logic controllers are implemented on a biomimetic robot hand finger model and simulation results are quantitatively analyzed. Pros and cons of the corresponding control algorithms are also discussed

Sliding Mode Control of a Finger for a

Abstract: A prosthetic finger model, intended to imitate a real human hand and for use in replacing the real index finger of an amputee, is designed using tendons instead of joint motors. A dynamic model of the prosthetic finger model is developed, and a non-chattering robust sliding mode control is applied to make the model follow a certain trajectory. Trajectory planning of the finger model is based on images of the closing motion of a human hand, and time varying reference joint angles are obtained using these images. The robustness of the controller is confirmed by introducing an unexpected sudden joint friction induced in the prosthetic finger