Research on the application of Internet of Things (IoT) for water and fertilizer integration and smart irrigation system in cotton production DOI Creative Commons
Zhenhua Guo,

Huanmei Chen

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract The application of water-fertilizer integration and intelligent irrigation systems in cotton production will greatly promote the increase yield quality, which has significant value for production. This paper introduces Internet Things (IoT) technology system shifts to an information-centered mode. In this paper, adopts first part main pipe fertilizer premixing system, combines venturi centrifugal pumps form a mixing equipment uses sensors collect environmental information growth development condition also designs fuzzy PID automation control module realize smart irrigation. test on June 22, 2022, air temperature decreased, humidity increased, light intensity gradually decreased after 15:30 due weather turning cloudy. After rain stopped around 20:00, detected that reached lowest practice section, 28°C, is sensitive environment. Compared with artificial method, it can by 66.98% while saving water 11.59%, found EC solution bucket steady state at about 150s, decision-making model greater superiority compared manual.

Язык: Английский

Precision control system of rice potting and transplanting machine based on GA-Fuzzy PID controller DOI
Xin Jin, Jing Liu, Zhuo Chen

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 220, С. 108912 - 108912

Опубликована: Апрель 17, 2024

Язык: Английский

Процитировано

12

Adaptive control system of header for cabbage combine harvester based on IPSO-fuzzy PID controller DOI

Jinming Zheng,

Xiaochan Wang,

Xuekai Huang

и другие.

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 232, С. 110044 - 110044

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

1

Thinking as Human: Self-Reflective Reinforcement Learning Framework for Fertilization Decision-Making DOI Creative Commons

Shulang Li,

Jie Liu, Yang Yang

и другие.

Smart Agricultural Technology, Год журнала: 2025, Номер unknown, С. 100841 - 100841

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Soil adsorption potential: Harnessing Earth's living skin for mitigating climate change and greenhouse gas dynamics DOI
Muhammad Shaaban, Avelino Núñez‐Delgado

Environmental Research, Год журнала: 2024, Номер 251, С. 118738 - 118738

Опубликована: Март 20, 2024

Язык: Английский

Процитировано

6

PID control algorithm based on multistrategy enhanced dung beetle optimizer and back propagation neural network for DC motor control DOI Creative Commons

Wei-Bin Kong,

Haonan Zhang, Xiaofang Yang

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 16, 2024

Traditional Proportional-Integral-Derivative (PID) control systems often encounter challenges related to nonlinearity and time-variability. Original dung beetle optimizer (DBO) offers fast convergence strong local exploitation capabilities. However, they are limited by poor exploration capabilities, imbalance between phases, insufficient precision in global search. This paper proposes a novel adaptive PID algorithm based on enhanced (EDBO) back propagation neural network (BPNN). Firstly, the diversity of is increased incorporating merit-oriented mechanism into rolling behavior. Then, sine learning factor introduced balance Additionally, dynamic spiral search strategy $$t$$ -distribution disturbance presented enhance capability. The BPNN employed fine-tune both parameters, leveraging its powerful generalization ability model nonlinear system dynamics. In simplified motor experiments, proposed controller achieved lowest overshoot (0.5%) shortest response time (0.012 s), with settling 0.02 s steady-state error just 0.0010. another set recorded an 0.7% 0.0010 s, across five DC tests. These results demonstrate has superior performance optimizing as well improving robustness stability.

Язык: Английский

Процитировано

6

Microbial pathways of nitrous oxide emissions and mitigation approaches in drylands DOI
Muhammad Shaaban

Journal of Environmental Management, Год журнала: 2024, Номер 354, С. 120393 - 120393

Опубликована: Фев. 15, 2024

Язык: Английский

Процитировано

4

Controlling parameters proportional integral derivative of DC motor using a gradient-based optimizer DOI Open Access
Widi Aribowo, Reza Rahmadian, Mahendra Widyartono

и другие.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, Год журнала: 2024, Номер 15(2), С. 696 - 696

Опубликована: Апрель 4, 2024

In this paper, a gradient-based optimizer (GBO) algorithm is presented to optimize the parameters of proportional integral derivative (PID) controller in DC motor control. The GBO which mathematically models and mimics inspired by Newton method. It was developed address various optimization issues. To determine performance proposed method, comparison method with ant colony (ACO) compared using time multiplied absolute error (ITAE). They are most popularly used literature. From test results, promising has better effectiveness. namely GBO-PID, shows best performance.

Язык: Английский

Процитировано

4

High-efficiency adaptive temperature control for thermoelectric system based on the OBPPID strategy DOI
Zhiming Chen, Xiaoqin Xu, Jing-yang Zhang

и другие.

Energy, Год журнала: 2024, Номер 308, С. 132932 - 132932

Опубликована: Авг. 23, 2024

Язык: Английский

Процитировано

4

Application of Disturbance Observer-Based Fast Terminal Sliding Mode Control for Asynchronous Motors in Remote Electrical Conductivity Control of Fertigation Systems DOI Creative Commons
Huan Wang, Jiawei Zhao, Lixin Zhang

и другие.

Agriculture, Год журнала: 2024, Номер 14(2), С. 168 - 168

Опубликована: Янв. 23, 2024

In addressing the control of asynchronous motors in remote conductivity fertigation machines, this study proposes a joint strategy based on Fast Terminal Sliding Mode Control-Disturbance Observer (FTSMC-DO) system for motors. The goal is to enhance dynamic performance and disturbance resistance motors, particularly under low-speed operating conditions. approach involves refining two-degree-of-freedom internal model controller using fractional-order functions explicitly separate controller’s robustness tracking capabilities. To mitigate motor’s sensitivity external disturbances during variable speed operations, load observer introduced, employing hyperbolic tangent Fal real-time monitoring compensation, seamlessly integrated into sliding mode controller. address issues related chattering typically associated with controllers, introduces revised non-singular fast terminal surface. Additionally, guided by fuzzy principles, enables selection approaching law parameters. Experimental results from motor platform demonstrate that FTSMC-DO significantly reduces adjustment time fluctuations operation, minimizing impact system. exhibits robust rejection, improved robustness, enhanced capability. Furthermore, field tests validate effectiveness regulating electrical (EC) levels. observed be less than 120 s, overshoot 16.1%, EC regulation within 0.2 mS·cm−1 over pipeline distance m. consistently achieves desired levels minimal fluctuation overshoot, outperforming traditional PID SMC methods. This high level precision crucial ensuring optimal nutrient delivery efficient water usage agricultural irrigation systems, highlighting system’s potential as valuable tool modern, sustainable farming practices.

Язык: Английский

Процитировано

3

Optical fiber sensor used for measuring the rotation angle of the disconnecting switch DOI Creative Commons
Jing Zhang,

Gu Qingchuan,

Wan Pu

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 14, 2025

In order to solve the problem that traditional electronic angle sensor cannot be directly installed on high voltage isolation switch for Angle measurement, a system isolating le measurement is proposed. The rotation converted straight line and of calculated by photoelectric conversion technology. light source fluctuation laser receiver causes nonlinear output result receiver, which compensates intensity received in both hardware software respectively. aspect, two-optical path receiving compensation method proposed compensation. terms software, sparrow search algorithm (SSA) (SSA-BP) improve detection accuracy. experimental results show average absolute error decreased 0.18 0.3 after dual-path SSA-BP

Язык: Английский

Процитировано

0