{"title":"Design of Transplanting Machinery Automation Based on Position-Velocity PID Double Closed-Loop Control Algorithm","authors":"Jingjing Sun","doi":"10.3103/S0146411625700014","DOIUrl":null,"url":null,"abstract":"<p>The continuous progress of modern science and technology pushes the development of agricultural machinery in the direction of automation, and the design of agricultural machinery has become an important means to improve the efficiency and quality of agricultural production. In order to achieve accurate and efficient transplanting operations, the study carried out a corresponding design of the seedling picking claw device of the transplanting machine, and at the same time, in view of the control requirements of the device, a double closed-loop control algorithm based on the position-velocity proportional-integral-derivative was introduced to achieve the precise positioning control of the opening and closing of the seedling picking claw. Results show that the motor plate of the seedling picking claw with the control strategy proposed by the Institute reaches and stabilizes at the desired displacement in about 0.1 s, which reduces the response time by 0.2 and 0.12 s, respectively, compared with the traditional PID control method and the fuzzy PID control method. It shows that the transplanting machine device designed by the Institute has a good effect of practical application, which helps to increase the transplanting precision as well as efficiency, and provides important technical support for the development of modern agriculture. Provide important technical support for the development of modern agriculture.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 1","pages":"1 - 12"},"PeriodicalIF":0.5000,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0146411625700014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The continuous progress of modern science and technology pushes the development of agricultural machinery in the direction of automation, and the design of agricultural machinery has become an important means to improve the efficiency and quality of agricultural production. In order to achieve accurate and efficient transplanting operations, the study carried out a corresponding design of the seedling picking claw device of the transplanting machine, and at the same time, in view of the control requirements of the device, a double closed-loop control algorithm based on the position-velocity proportional-integral-derivative was introduced to achieve the precise positioning control of the opening and closing of the seedling picking claw. Results show that the motor plate of the seedling picking claw with the control strategy proposed by the Institute reaches and stabilizes at the desired displacement in about 0.1 s, which reduces the response time by 0.2 and 0.12 s, respectively, compared with the traditional PID control method and the fuzzy PID control method. It shows that the transplanting machine device designed by the Institute has a good effect of practical application, which helps to increase the transplanting precision as well as efficiency, and provides important technical support for the development of modern agriculture. Provide important technical support for the development of modern agriculture.
期刊介绍:
Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision