A Compatible Control Algorithm for Greenhouse Environment Control Based on MOCC Strategy

被引:31
作者
Hu, Haigen [1 ,2 ]
Xu, Lihong [1 ]
Zhu, Bingkun [1 ]
Wei, Rhihua [1 ]
机构
[1] Tongji Univ, Dept Control Sci & Engn, Shanghai 200092, Peoples R China
[2] Zhejiang Agr & Forestry Univ, Sch Informat Engn, Linan City 311300, Zhejiang, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
multi-objective compatible control (MOCC); greenhouse environment control; feedback control; multi-objective evolutionary algorithms (MOEAs); greenhouse climate model; PREDICTIVE CONTROL; OPTIMIZATION; TOMATO;
D O I
10.3390/s110303281
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Conventional methods used for solving greenhouse environment multi-objective conflict control problems lay excessive emphasis on control performance and have inadequate consideration for both energy consumption and special requirements for plant growth. The resulting solution will cause higher energy cost. However, during the long period of work and practice, we find that it may be more reasonable to adopt interval or region control objectives instead of point control objectives. In this paper, we propose a modified compatible control algorithm, and employ Multi-Objective Compatible Control (MOCC) strategy and an extant greenhouse model to achieve greenhouse climate control based on feedback control architecture. A series of simulation experiments through various comparative studies are presented to validate the feasibility of the proposed algorithm. The results are encouraging and suggest the energy-saving application to real-world engineering problems in greenhouse production. It may be valuable and helpful to formulate environmental control strategies, and to achieve high control precision and low energy cost for real-world engineering application in greenhouse production. Moreover, the proposed approach has also potential to be useful for other practical control optimization problems with the features like the greenhouse environment control system.
引用
收藏
页码:3281 / 3302
页数:22
相关论文
共 39 条
[11]   Greenhouse air temperature predictive control using the particle swarm optimisation algorithm [J].
Coelho, JP ;
Oliveira, PBD ;
Cunha, JB .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2005, 49 (03) :330-344
[12]  
Cunha JB, 2000, ACTA HORTIC, P269
[13]  
CUNHA JB, 2006, P COMP AGR NAT RES 4
[14]   A fast and elitist multiobjective genetic algorithm: NSGA-II [J].
Deb, K ;
Pratap, A ;
Agarwal, S ;
Meyarivan, T .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197
[15]   LONG-TERM TEMPERATURE INTEGRATION OF TOMATO - GROWTH AND DEVELOPMENT UNDER ALTERNATING TEMPERATURE REGIMES [J].
DEKONING, ANM .
SCIENTIA HORTICULTURAE, 1990, 45 (1-2) :117-127
[16]  
EISENHART KJ, 2003, THESIS W MICHIGAN U
[17]   Modeling and experimental validation of a greenhouse with evaporative cooling by moving water film over external shade cloth [J].
Ghosal, MK ;
Tiwari, GN ;
Srivastava, NSL .
ENERGY AND BUILDINGS, 2003, 35 (08) :843-850
[18]  
HU H, 2009, P 1 ACM SIGEVO SUMM, P217
[19]  
HU Q, 2006, 2006 1 IEEE C IND EL, P1
[20]  
Hurd R. G., 1984, Acta Horticulturae, P547