Return
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots
DOI:10.1016/j.neunet.2023.02.010.png)
Abstract
En 中文
From the control theory, the best control gain produces a balance between the trajectory tracking accuracy and control energy consumption. The random search of the bat algorithm is one alternative to find the best control gain. In this paper, (1) a bat algorithm based control is proposed to decrease the control energy consumption in robots, where a bat algorithm is used to find the best control gain; and (2) a modified bat algorithm based control is proposed to increase the trajectory tracking accuracy in robots, where a modified bat algorithm is used to find the best control gain. The comparison between the two proposed controls and the simplex based control is illustrated for the trajectory tracking accuracy and control energy consumption in two robots. (c) 2023 Elsevier Ltd. All rights reserved.
Keywords:
Modified bat algorithm based control
Bat algorithm based control
Simplex algorithm based control
Control energy consumption
Trajectory tracking accuracy
Robots
Journal
IF:
6.3
Papers:
8.2K
Citations:
3.0W
Organization
Cited Papers
Injection of Oxytocin into the Medial Preoptic–Anterior Hypothalamus Increases Ultrasound Production by Female Hamsters
Peptides
IF0
Fractional-order PID control of a MIMO distillation column process using improved bat algorithm
SOFT COMPUTING
IF2.5
Double structure scaled simplex representation for multi-view subspace clustering
NEURAL NETWORKS
IF6.3
Neural network-based adaptive hybrid impedance control for electrically driven flexible-joint robotic manipulators with input saturation
NEUROCOMPUTING
IF6.5
Active Current Sharing of a Parallel DC-DC Converters System Using Bat Algorithm Optimized Two-DOF PID Control
IEEE ACCESS
IF3.6
Contract design of direct-load control programs and their optimal management by genetic algorithm
ENERGY
IF9.4

