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Send your completed paper to Sandy Rutter at rutter@asabe.org by 13 April 2007 to be included in the ASABE Online Technical Library.

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Author(s)

First Name

Middle Name

Surname

Role

Email

Lihong

(or initial)

Xu

ASABE Member?

xulihong@egr.msu.edu

Affiliation

Organization

Address

Country

Michigan State University

East Lansing, MI 48824

USA

Author(s) – repeat Author and Affiliation boxes as needed--

First Name

Middle Name

Surname

Role

Email

Qingsong

(or initial)

Hu

ASABE Member?

Hu.qingsong@163.com

Affiliation

Organization

Address

Country

Tongji University

1239#,Siping Rd., Shanghai 200092

China

Publication Information

Pub ID

Pub Date

073022

2007 ASABE Annual Meeting Paper




An ASABE Meeting Presentation


Paper Number: 073022


A Multi-Objective Compatible Control (MOCC) Algorithm for the Greenhouse Energy-Saving Control


Lihong Xu, Professor

Michigan State University, Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, xulihong@egr.msu.edu

Qingsong Hu, Doctor

Tongji University, 1239#,Siping Rd., Shanghai 200092, China, Hu.qingsong@163.com.

Written for presentation at the

2007 ASABE Annual International Meeting

Sponsored by ASABE

Minneapolis Convention Center

Minneapolis, Minnesota

17 - 20 June 2007

Abstract. Energy-saving control is very important in the greenhouse environment control. However, the greenhouse is a very complex system and the users have multiple objectives, there are few suitable control methods to realize this by now. In this paper, a new two-layer multi-objective compatible control algorithm is proposed for the greenhouse control problems with two conflicting control objectives, control error and energy consumption. The first layer is devoted to obtaining a user's desired controlled objectives region, assured to be not only achievable but also Pareto-optimal. The second layer is devoted to designing an effective controller by optimizing the most important controlled objective --- energy consumption, subject to system constraints from the controlled objectives region in the first layer. This control algorithm provides an effective robust controller design method for the complex greenhouse energy-saving control with precise models and uncertain initial conditions. Simulations illustrate that the two-layer multi-objective compatible control (MOCC) algorithm has some advantages on energy-saving over traditional multi-objective control methods.

Keywords. Greenhouse, Energy-saving, Multi-objective Control, Compatible

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