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Greenhouse temperature PID control method of RNA crossover symbiotic biological algorithm

A technology of symbiotic organisms and control methods, which is applied in the field of intelligent optimization control and can solve problems such as difficult to achieve high-performance control effects.

Active Publication Date: 2020-10-16
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
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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

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  • Greenhouse temperature PID control method of RNA crossover symbiotic biological algorithm
  • Greenhouse temperature PID control method of RNA crossover symbiotic biological algorithm
  • Greenhouse temperature PID control method of RNA crossover symbiotic biological algorithm

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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 ...

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Abstract

The invention discloses a greenhouse temperature PID control method of an RNA crossover symbiotic biological algorithm, and belongs to the field of intelligent optimization control. A greenhouse control system is a complex system with strong nonlinearity, strong coupling and large time delay, and how to determine parameters of a PID controller is a crucial basis in order to achieve a high-precision and high-performance control effect. Aiming at the characteristics of strong nonlinearity, strong coupling and large time delay of a greenhouse temperature control system, an intelligent optimization algorithm is adopted to optimize PID controller parameters. Inspired by molecular crossover and variation in the genetic process, in combination with a symbiotic organism search algorithm, an RNA crossover operation symbiotic organism algorithm is abstracted; PID controller parameters are optimized through the algorithm, and the PID controller parameters are used for greenhouse temperature control after being obtained. Simulation experiment results show that the method has a good control effect on a greenhouse temperature control system, for example, the response time is short, and the control error is small.

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

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B11/42
CPCG05B11/42
Inventor 蒙桂余王宁
Owner ZHEJIANG UNIV
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