返回
Observer-based differential evolution constrained control for safe reference tracking in robots
DOI:10.1016/j.neunet.2024.106273.png)
摘要
En 中文
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.
Keyword:
Constrained observer
Constrained control
Differential evolution optimizer
Safe reference tracking
Safe perturbation estimation
Best gains
期刊
IF:
6.3
论文数:
8.2K
被引数:
3.0W
机构
暂无机构信息
引用论文
Resonant properties of sessile droplets; contact angle dependence of the resonant frequency and width in glycerol/water mixtures
Soft Matter
IF0
Extended state observer based current-constrained controller for a PMSM system in presence of disturbances: Design, analysis and experiments扰动下基于扩张状态观测器的PMSM系统电流约束控制器的设计、分析与实验
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots
NEURAL NETWORKS
IF6.3
Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot
NEURAL NETWORKS
IF6.3
Genetic high-gain controller to improve the position perturbation attenuation and compact high-gain controller to improve the velocity perturbation attenuation in inverted pendulums
NEURAL NETWORKS
IF6.3

