Kalman Filtering on Greenhouse Climate Control
This study is on the development of an extended Kalman filter used in conjunction with a nonlinear feedback controller for greenhouse climate control systems. In this paper, the measured variables are corrupted by the sensor noises and the system dynamics is influenced by process noises as well. So an extended Kalman filter algorithm has been carried out to estimate the states and to filter out the noises in parallel to augment the proposed control design. The proposed method not only decreases the errors between the current states and their desired values, but also smoothes the control signals, which will increase the life time of the actuators and decrease the operating cost and low investment capacity of growers. The simulation results verify the effectiveness of the proposed approach and suggest it as a promising way for greenhouse climate control.
Extended Kalman filter Greenhouse Climate control State estimation Sensor and process noises
PENG Shi XIAOLI Luan FEI Liu HAMID REZA Karimi
Department of Computing and Mathematical Sciences, University of Glamorgan, Pontypridd, CF37 1DL, Un Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Institute of Department of Engineering, Faculty of Engineering and Science, University of Agder, N-4898 Grimstad,
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
779-784
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）