Greenhouse temperature pid control method based on RNA cross-operated symbiotic algorithm

A technology of symbiotic organisms and control methods, applied in the field of intelligent optimization control, can solve problems such as difficult to achieve high-performance control effects, and achieve the effects of improving local optimization capabilities, enhancing global search capabilities, and improving diversity.

Active Publication Date: 2021-05-04
ZHEJIANG UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the greenhouse temperature control system is a complex system with strong nonlinearity, strong coupling, and large time delay, it is difficult for the traditional PID controller parameter tuning method to achieve high-performance control effects.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Greenhouse temperature pid control method based on RNA cross-operated symbiotic algorithm
  • Greenhouse temperature pid control method based on RNA cross-operated symbiotic algorithm
  • Greenhouse temperature pid control method based on RNA cross-operated symbiotic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0112] In the following, the present invention will be applied to the approximate model of the greenhouse temperature system, and will be further described in detail.

[0113] The first-order hysteresis system is an approximate model of the actual greenhouse temperature system and is widely used in the simulation of greenhouse temperature control systems. Specifically, the approximate model of the greenhouse temperature system used in this embodiment satisfies the following transfer function:

[0114]

[0115] where a is the heat capacity of the greenhouse in J / m 2 ; b is the heat loss in the greenhouse, in W / m 2 ; τ is the lag time in s.

[0116] The approximate model parameters are set as: a=10.3; b=0.0263; pure lag time τ=120. Sampling cycle Ts=4s; sampling times kn=250. Input the control temperature r=25°C.

[0117] Step 1: Construct the greenhouse temperature control model through the matlab program, use the model output data to represent the actual temperature y ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a greenhouse temperature PID control method of an RNA cross-operation symbiotic biological algorithm, which belongs to the field of intelligent optimization control. The greenhouse control system is a complex system with strong nonlinearity, strong coupling and large time delay. In order to achieve high-precision and high-performance control effects, how to determine the parameters of the PID controller is a crucial foundation. Aiming at the characteristics of strong nonlinearity, strong coupling and large time delay of the greenhouse temperature control system, the invention adopts an intelligent optimization algorithm to optimize the parameters of the PID controller. Inspired by the molecular crossover and mutation in the genetic process, combined with the symbiotic organism search algorithm, the RNA crossover operation symbiotic biology algorithm is abstracted, and the PID controller parameters are optimized through this algorithm, and the PID controller parameters are obtained and used for greenhouse temperature control. . The simulation experiment results show that the present invention has better control effects on the greenhouse temperature control system, such as shorter response time and smaller control error.

Description

technical field [0001] The invention relates to the technical field of intelligent optimization control, in particular to a greenhouse temperature PID control method based on an RNA cross-operation symbiotic algorithm. Background technique [0002] The production mode of greenhouse crop cultivation is a new stage in the development of modern agricultural production. It is not restricted by the external environment and can provide the light, water and temperature conditions required for normal growth of crops. The main difference between greenhouse crop production and field crop production is that the microenvironmental climate of the greenhouse can be changed under the action of the real-time control system of the greenhouse to make it consistent with the climatic conditions required by the crops, which is ultimately conducive to the growth and high yield of crops. [0003] With the development of the greenhouse cultivation industry, greenhouse temperature control technology...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G05B11/42
CPCG05B11/42
Inventor 蒙桂余王宁
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap