Observer-based differential evolution constrained control for safe reference tracking in robots

Neural Netw. 2024 Jul:175:106273. doi: 10.1016/j.neunet.2024.106273. Epub 2024 Mar 27.

Abstract

Big torque inputs in controls could increase energy consumption, and big estimated perturbations in observers could produce device damages. Therefore, it would be interesting to propose a constrained control for safe reference tracking and a constrained observer for safe perturbation estimation in robots. Furthermore, the best gains in controls produce a balance between safe reference tracking and save energy consumption. Therefore, it would be interesting to propose a method to find the best gains. In this paper, an observer-based differential evolution constrained control is proposed for safe reference tracking in robots. The contributions are described as follows: (1) a constrained observer is proposed for safe perturbation estimation in robots, (2) a constrained control is proposed for safe reference tracking in robots, (3) a differential evolution optimizer is used to find the best gains in an observer-based constrained control, (4) the robust stability in an observer-based constrained control is assured, (5) the pseudo-code of an observer-based differential evolution constrained control is detailed. The proposed observer-based differential evolution constrained control is applied for safe reference tracking in two robots.

Keywords: Best gains; Constrained control; Constrained observer; Differential evolution optimizer; Safe perturbation estimation; Safe reference tracking.

MeSH terms

  • Algorithms
  • Humans
  • Neural Networks, Computer*
  • Robotics*
  • Torque