干旱区生态环境知识资源中心(Arid): Optimizing Active Disturbance Rejection Control for a Stubble Breaking and Obstacle Avoiding Control System

Arid

DOI	10.3390/agriculture14050786
	Optimizing Active Disturbance Rejection Control for a Stubble Breaking and Obstacle Avoiding Control System
	Zhu, Huibin; Huang, Tao; Bai, Lizhen; Zhang, Wenkai
通讯作者	Bai, LZ
来源期刊	AGRICULTURE-BASEL
EISSN	2077-0472
出版年	2024
卷号	14 期号:5
英文摘要	In order to improve the obstacle avoidance control performance and anti-interference ability of a stubble breaking device of a no-tillage planter, a back-propagation neural network (BPNN)-optimized fuzzy active disturbance rejection control (ADRC) controller was designed to optimize the control performance of a servo motor. Firstly, a negative feedback mathematical model was established for the obstacle avoidance control system. Then, the nonlinear state error feedback (NLSEF) parameters in the fuzzy ADRC were intelligently optimized by the BPNN algorithm. In this way, a fuzzy ADRC controller based on BPNN optimization was formed to optimize the control process of a servo motor. Matlab/Simulink (R2022b) was used to complete the simulation model design and parameter adjustment. Consequently, the response time was 0.089 s using the BPNN fuzzy ADRC controller, which was shorter than the 0.303 s of the ADRC controller and the 0.100 s of the fuzzy ADRC controller. The overshoot was 0.1% using a BPNN fuzzy ADRC controller, which was less than the 2% of the ADRC controller and the 1% of the fuzzy ADRC controller. After noise signal interference was introduced into the control system, the regression steady state time of the BPNN fuzzy ADRC controller was 0.22 s, which was shorter than the 0.56 s of the ADRC controller and the 0.45 s of the fuzzy ADRC controller. A hardware-in-the-loop simulation experimental platform of the obstacle avoidance control system was constructed. The experiment results show that the servo motor control system has a fast dynamic response, small steady-state error and strong anti-interference ability for obstacle avoidance at the target height. Then, the control system error was within the allowable range. The servo motor control effect of the BPNN fuzzy ADRC was better than the ADRC and fuzzy ADRC. This optimized servo motor control method can provide a reference for improving the obstacle avoidance control effect problem of no-tillage seeders in stubble breaking operations on rocky desertification areas.
英文关键词	stubble breaking device obstacle avoidance system optimized motor control algorithm fuzzy ADRC BPNN optimization hardware-in-the-loop simulation platform
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001232998300001
WOS类目	Agronomy
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/402717
推荐引用方式 GB/T 7714	Zhu, Huibin,Huang, Tao,Bai, Lizhen,et al. Optimizing Active Disturbance Rejection Control for a Stubble Breaking and Obstacle Avoiding Control System[J],2024,14(5).
APA	Zhu, Huibin,Huang, Tao,Bai, Lizhen,&Zhang, Wenkai.(2024).Optimizing Active Disturbance Rejection Control for a Stubble Breaking and Obstacle Avoiding Control System.AGRICULTURE-BASEL,14(5).
MLA	Zhu, Huibin,et al."Optimizing Active Disturbance Rejection Control for a Stubble Breaking and Obstacle Avoiding Control System".AGRICULTURE-BASEL 14.5(2024).