人工智能-机器学习-禽舍环境智能控制关键技术研究.pdf资源-CSDN文库

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摘要

态的存在性和可达性

。

此外

，

为了消除控制的抖动

，

给岀了基于边界层的改进分散滑模

变结构控制的设计方法

。

为验证本文提出的基于无线传感器网络的禽舍环境测控系统的可行性

，

搭建了试验

平台

，

通过无线节点对温度

、

湿度进行测试

，

并给出风机的继电器输出形式

。

开发了基

于

MCGS

组态的禽舍环境监控系统

，

通过实际运行结果显示

，

监控系统运行正常

，

数

据实时性高

，

控制曲线符合实际要求

，

具有广泛的推广应用价值

。

关键词

禽舍

；

无线传感器网络

；

变结构

；

智能控制

-n-

Abstract

Poultry

house

breeding

important

part

our

country

agricultural

development,

and

its

strategy

and

scale

are

the

future

direction

development

modem

poultry

farming.

Meanwhile,

with

the

increasing

the

avian

flu

and

other

diseases,

especially

H5N1

highly

pathogenic

avian

influenza

people

are

clearly

aware

poultry

breeding

longer

simply

involve

economic

interests,

and

also

the

human

relations

their

health

and

life

safety.

Therefore,

necessary

put

forward

higher

demand

the

poultry

house

environment.

Poultry

house

environmental

control

series

projects

and

facilities,

ensure

reasonable

environment

for

poultry

growth

and

breeding,

and

also

important

condition

for

the

poultry

industry

intensification

and

modernization;

however,

the

poultry

house

environment

complex,

large

systems,

highly

nonlinear,

time

variable

and

multivariable

coupling

such

that

many

the

conventional

means

detection

and

control

methods

can

not

meet

the

requirements.

Study

the

poultry

house

environment

with

intelligent

detection

monitoring

system

and

the

poultry

house

environment

parameters

the

intelligent

control

method

has

important

theoretical

significance

and

application

value.

this

paper,

the

analysis

the

temperature

and

humidity

the

poultry

house

environment

and

air

quality

monitoring

and

control

mechanism

the

basis

the

poultry

house

environment

based

wireless

sensor

network

platform

for

intelligent

monitoring

and

control

key

technologies.

Measurement

poultry

house

environmental

parameters

based

the

Zigbee

protocol

wireless

sensor

network

structure

and

implementation;

the

poultry

house

environment

parameters

fuzzy

data

fusion

detection;

poultry

breeding

requirements

and

poultry

survival

characteristics

within

the

poultry

house

environment,

the

variation

temperature

and

humidity,

and

poultry

between

the

social

characteristics

the

relationship

between

the

poultry

house

environment

parameters

change

with

the

measurement

and

control

technology

requirements,

build

the

poultry

house

environment

monitoring

and

control

systems

based

Zigbee

protocol,

and

wireless

sensor

network

platform,

the

class

carried

out

detailed

analysis

and

presentation,

including

hardware

selection

and

circuit

design.

The

poultry

house

environment

parameters

based

fuzzy

theory

multi-sensor

data

fusion

detection

for

multi-sensor

data

fusion,

sensor

reliability

estimated

value

difficult

calculate,

the

poultry

house

temperature

for

collection

objects,

respectively,

based

statistical

The

methods

and

spatial

and

temporal

multi-sensor

fusion

methods

fuzzy

closeness

method

calculation

and

experimental

results

verify

the

validity

and

accuracy

the

proposed

method.

The

controlling

course

poultry

house

environment

was

process

controlling

the

temperature

and

humidity

the

medium

poultry

house

make

the

moisture

content

-HI.

Abstract

certain

expected

value.

The

objective

poultry

house

control

decrease

the

consumption

energy

and

increase

the

quality

lumber

minimum

time.

Conventional

controller

widely

applied

current

poultry

house,

but

based

the

schedules

developed

using

empirical

testing

with

the

aim

providing

reasonable

throughout

with

acceptable

levels

defects.

This

cannot

adequately

the

different

performance

indexes,

such

the

minimum

time

and/or

the

energy

poultry

house,

etc.

According

the

characteristic

real

poultiy

house

environment,

examined

the

utilization

variable

structure

control

and

intelligent

variable

structure

control

poultry

house

control

system

based

Neural

Network

model

and

the

closed-loop

stability

was

proved

using

Lyapxinov

method.

Moreover,

for

matched

and

mismatched

uncertainties,

two

different

control

systems

are

developed

for

the

poultry

house

system.

And

also

for

the

boundedness

the

uncertainties,

the

different

kind

stable

conditions

are

discussed.

addition,

for

the

poultry

house

process,

considered

complicated

system

and

the

decentralized

variable

structure

control

system

presented

and

the

sliding

condition

also

analyzed

such

that

the

stable

condition

the

closed-1

oop

given.

specifically,

the

dynamics

characteristics

the

poultry

house

environment

were

represented

two

interconnected

subsystems:

heat-temperature

process

subsystem

and

temperature-moisture

process

subsystem.

And

then

based

variable

structure

control

theory,

robust

poultry

house

control

system

developed

for

this

nonlinear

interconnected

poultry

house

environment

such

that

the

moisture

content

poultry

house

will

reach

and

stabilized

the

desired

set

point.

Moreover,

order

reduce

the

control

chattering,

the

modified

decentralized

variable

structure

controller

also

developed

using

boixndary

value.

verify

the

feasibility

the

proposed

poultry

house

environment

measurement

and

control

system

based

wireless

sensor

networks,

set

test

platform

through

the

wireless

node

test

the

temperature,

humidity,

and

gives

the

fen

relay

output

the

form.

Developed

MCGS

configuration

the

poultry

house

environment

monitoring

system,

through

actual

erating

results

show

the

monitoring

system

running

properly,

real-time

data,

the

control

curve

line

with

the

actual

requirements,

with

wide

range

application

value.

Keywords

Poultry

House

；

Wireless

Sensor

Networks

；

Variable

Structure

Control

；

Intelligent

Control

-IV-

3.3.2

基于模糊贴近度统计方法的多传感器数据融合方法研究

3.3.3

基于模糊贴近度时空融合的多传感器融合方法研究••

…

3.4

本章小结

...................................................

智能变结构禽舍温湿度控制方法研究

........................

4.1

引言

........................................................

4.2

不确定变结构禽舍系统控制律设计

.......................

4.2.1

滑模面设计

..............................................

4.2.2

变结构控制设计

.........................................

4.2.3

等效系统分析

............................................

4.2.4

改进的变结构控制器设计

...............................

4.3

不确定智能变结构禽舍系统控制律设计

...................

4.3.1

滑模面选取

..............................................

4.3.2

智能变结构控制器设计

…

............ ........ ............

4.4

禽舍温湿度控制仿真分析

.................................

4.5

本章小结

...................................................

智能分散变结构禽舍温湿度控制方法研究

...................

・

禽舍环境控制参数

.........................................

5.2

分散变结构控制系统基础

.................................

5.2.1

系统描述

.................................................

5.2.2

分散变结构控制器设计

..................................

5.2.3

滑模面上完全不变性

....................................

5.2.4

滑模面系数矩阵的确定

..................................

5.3

分散智能变结构禽舍控制系统设计

.......................

5.3.1

分散变结构控制器的设计

...............................

5.3.2

智能分散变结构控制器设计

.............................

5.4

控制抖动消除

..............................................

5.5

禽舍内风机布局与设计要求

...............................

5.6

仿真分析

..................................................

5.7

本章小结

..................................................

禽舍环境监控系统的构建及测试

............................

6.1

引言

.......................................................

6-2

禽舍环境试验监控系统的构建

............................

6.2.1

监控系统总体结构

.......................................

6.2.2

MCGS

组态与软件实现

..................................

6.3

禽舍环境监控系统测试

...................................

6.3.1

监控系统主界面

.........................................

.26

.32

.35

.36

.37

,.41

.42

..42

.43

..45

.46

..47

..48

..50

..51

..52

-53

..53

..56

..58

..61

..64

"65

..65

..67

-VI-

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