Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

PID Controller01:19

PID Controller

228
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
228
PI Controller: Design01:24

PI Controller: Design

465
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
465
Key Elements for Plant Nutrition02:35

Key Elements for Plant Nutrition

20.9K
Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
20.9K
PD Controller: Design01:26

PD Controller: Design

338
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
338
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

196
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
196
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

174
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
174

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mechanical and biological evaluation of two fresh pepper varieties.

Frontiers in plant science·2025
Same author

The Solid-State Synthesis of BiOIO<sub>3</sub> Nanoplates with Boosted Photocatalytic Degradation Ability for Organic Contaminants.

Molecules (Basel, Switzerland)·2023
Same author

Effect of early continuously intravenous tranexamic acid on perioperative blood loss in thoracolumbar burst fractures with neurological symptoms.

Medicine·2022
Same author

MEEMD Decomposition-Prediction-Reconstruction Model of Precipitation Time Series.

Sensors (Basel, Switzerland)·2022
Same author

Visual method for measuring the roughness of a grinding piece based on color indices.

Optics express·2016
Same author

Optimization of privileged structures for selective and potent melanocortin subtype-4 receptor ligands.

Bioorganic & medicinal chemistry letters·2010

Related Experiment Video

Updated: Sep 3, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.6K

Application of PSO-BPNN-PID Controller in Nutrient Solution EC Precise Control System: Applied Research.

Yongtao Wang1,2, Jian Liu1, Rong Li1

  • 1State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Lushan South Road, Yuelu District, Changsha 410082, China.

Sensors (Basel, Switzerland)
|July 28, 2022
PubMed
Summary

This study introduces an advanced nutrient solution control system using particle swarm optimization (PSO) with a back-propagation neural network (BPNN) for precise electrical conductivity (EC) management in agriculture. The optimized system demonstrates faster response times and higher accuracy compared to traditional methods.

Keywords:
PSO-BPNN-PIDnutrient solution EC regulationsimulation and experimentswireless sensor network acquisition device

More Related Videos

Three-dimensional Printing of Thermoplastic Materials to Create Automated Syringe Pumps with Feedback Control for Microfluidic Applications
09:08

Three-dimensional Printing of Thermoplastic Materials to Create Automated Syringe Pumps with Feedback Control for Microfluidic Applications

Published on: August 30, 2018

12.5K
Nutrient Regulation by Continuous Feeding for Large-scale Expansion of Mammalian Cells in Spheroids
11:01

Nutrient Regulation by Continuous Feeding for Large-scale Expansion of Mammalian Cells in Spheroids

Published on: September 25, 2016

7.8K

Related Experiment Videos

Last Updated: Sep 3, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.6K
Three-dimensional Printing of Thermoplastic Materials to Create Automated Syringe Pumps with Feedback Control for Microfluidic Applications
09:08

Three-dimensional Printing of Thermoplastic Materials to Create Automated Syringe Pumps with Feedback Control for Microfluidic Applications

Published on: August 30, 2018

12.5K
Nutrient Regulation by Continuous Feeding for Large-scale Expansion of Mammalian Cells in Spheroids
11:01

Nutrient Regulation by Continuous Feeding for Large-scale Expansion of Mammalian Cells in Spheroids

Published on: September 25, 2016

7.8K

Area of Science:

  • Agricultural Engineering
  • Automation and Control Systems
  • Sensor Networks

Background:

  • Accurate control of nutrient solution electrical conductivity (EC) is crucial for optimizing plant growth in hydroponic and fertigation systems.
  • Traditional control methods often struggle with achieving rapid response and high precision, necessitating advanced control strategies.
  • Wireless sensor technologies like LoRa and NB-IoT offer potential for real-time monitoring in agricultural applications.

Purpose of the Study:

  • To develop and evaluate a novel nutrient solution control system for precise EC management.
  • To optimize a back-propagation neural network (BPNN) using particle swarm optimization (PSO) for enhanced PID control.
  • To improve the speed and accuracy of nutrient solution EC regulation in agricultural production.

Main Methods:

  • Designed a sensing system utilizing LoRa slave nodes and NB-IoT master nodes for EC data acquisition.
  • Developed an EC control model incorporating a BPNN optimized by the PSO algorithm to tune PID controller parameters (Kp, Ki, Kd).
  • Validated the PSO-BPNN-PID control strategy through simulations and experiments, comparing its performance against traditional PID and BPNN-PID methods.

Main Results:

  • The PSO-BPNN-PID controller achieved a steady-state time of approximately 43 seconds with minimal overshoot (0.14%) at a target EC of 2 mS/cm, stabilizing at 1.9997-2.0027 mS/cm.
  • Compared to BPNN-PID and traditional PID, the PSO-BPNN-PID demonstrated significantly faster response speeds and superior accuracy.
  • Simulations across various EC setpoints (1-2.5 mS/cm) confirmed the model's robustness, with EC fluctuations within 0.003-0.119 mS/cm and steady-state times of 40-60 seconds.

Conclusions:

  • The proposed PSO-BPNN-PID control system effectively enhances the precision and responsiveness of nutrient solution EC management.
  • This advanced control approach meets the demands for rapid and accurate water and fertilizer integration in modern agriculture.
  • The integration of wireless sensor networks with optimized intelligent control offers a promising solution for smart farming applications.