An Intelligent Fuzzy-GPC Control for Agricultural Sprayers: Comparison Between GPC and PID Fuzzy Controllers

被引：1

作者：

Schutz, Deniver Reinke ^{[1
,2
]}

Mercaldi, Heitor, V ^{[3
]}

Penaloza, Elmer A. G. ^{[4
]}

Oliveira, Vilma A. ^{[1
]}

Cruvinel, Paulo E. ^{[2
]}

机构：

[1] Univ Sao Paulo, Sao Carlos, SP, Brazil

[2] Embrapa Instrumentacao, Sao Carlos, SP, Brazil

[3] Univ Fed Sao Carlos, Sao Carlos, SP, Brazil

[4] Univ Fed Pelotas, Pelotas, RS, Brazil

来源：

CONTROLO 2022 | 2022年 / 930卷

关键词：

Adaptive controllers; Fuzzy-GPC; GPC; Fuzzy-PID; Agricultural sprayer; GENERALIZED PREDICTIVE CONTROL;

D O I：

10.1007/978-3-031-10047-5_24

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The application of pesticides is an important stage in food production in the agroindustry. In this process, adequate regulation and control of flow and pressure via automatic control technologies plays a fundamental role in reducing costs and biological risks. The dynamics of spraying systems have nonlinearities due to variation of the sprayer fluidic resistance and the presence of dead zone in the electrohydraulic actuators. Therefore, it is necessary to develop adaptive control solutions to deal with parametric uncertainties and nonlinearities in this type of systems. In this research work, an adaptive fuzzy-GPC controller is proposed to regulate the flow and pressure of a boom spraying system. Hence, a basic modeling of the sprayer system and a development methodology for the application of the fuzzy-GPC controller are presented. Additionally, a comparative analysis with a conventional GPC and a fuzzy-PID controllers is carried out. The results obtained show the reduction in the control action oscillations with the proposed controller which can reduce the wear of the actuators, as well as an increase in the stability robustness in the presence of variations in the parameters of the sprayer.

引用

页码：272 / 284

页数：13

共 19 条

[1]

Aissaoui A.E., 2011, 2 INT C AGR ENG SYNE, P9

[2] GENERALIZED PREDICTIVE CONTROL .1. THE BASIC ALGORITHM [J].

CLARKE, DW ;

MOHTADI, C ;

TUFFS, PS .

AUTOMATICA, 1987, 23 (02) :137-148

[3]

Cruvinel PE, 2016, ADV SENSOR REV, V4, P181

[4] MODELING AND MODEL VALIDATION OF A CHEMICAL INJECTION SPRAYER SYSTEM [J].

Felizardo, K. R. ;

Mercaldi, H. V. ;

Cruvinel, P. E. ;

Oliveira, V. A. ;

Steward, B. L. .

APPLIED ENGINEERING IN AGRICULTURE, 2016, 32 (03) :285-297

[5]

Felizardo K.R., 2013, P SERIES BRAZILIAN S, V1, P1, DOI [10.5540/03.2013.001.01.0017, DOI 10.5540/03.2013.001.01.0017]

[6] Modeling and Predictive Control of a Variable-rate Spraying System [J].

Felizardo, Kleber R. ;

Mercaldi, Heitor V. ;

Oliveira, Vilma A. ;

Cruvinel, Paulo E. .

2013 8TH EUROSIM CONGRESS ON MODELLING AND SIMULATION (EUROSIM), 2013, :202-207

[7]

Food of The United Nations A.O., 2001, GUIDELINES MINIMUM R, V2

[8]

Liangliang Pu, 2009, 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC 2009), P504, DOI 10.1109/ICICIC.2009.92

[9] EXPERIMENT IN LINGUISTIC SYNTHESIS WITH A FUZZY LOGIC CONTROLLER [J].

MAMDANI, EH ;

ASSILIAN, S .

INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES, 1975, 7 (01) :1-13

[10]

Mendes J., 2011, 16 IEEE ETFA C, P1, DOI 10.1109/ETFA.2011.6059066

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