An Improved Cooperative Team Spraying Control of a Diffusion Process With a Moving or Static Pollution Source

Juan Chen; Baotong Cui; YangQuan Chen; Bo Zhuang

doi:10.1109/JAS.2019.1911519

Volume 7 Issue 2

Mar. 2020

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2020 > 7(2): 494-504

Juan Chen, Baotong Cui, YangQuan Chen and Bo Zhuang, "An Improved Cooperative Team Spraying Control of a Diffusion Process With a Moving or Static Pollution Source," IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 494-504, Mar. 2020. doi: 10.1109/JAS.2019.1911519

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Juan Chen, Baotong Cui, YangQuan Chen and Bo Zhuang, "An Improved Cooperative Team Spraying Control of a Diffusion Process With a Moving or Static Pollution Source," IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 494-504, Mar. 2020. doi: 10.1109/JAS.2019.1911519

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An Improved Cooperative Team Spraying Control of a Diffusion Process With a Moving or Static Pollution Source

doi: 10.1109/JAS.2019.1911519

Funds: This work was partially supported by the National Natural Science Foundation of China (61473136, 61807016), the Fundamental Research Funds for the Central Universities (JUSRP51322B), the 111 Project (B12018), and Jiangsu Innovation Program for Graduates (KYLX15 1170)

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Author Bio:
Juan Chen received the Ph.D. degree in control science and engineering from the School of IoT Engineering, Jiangnan University in 2011. She joined the Mechatronics, Embedded Systems and Automation (MESA) Laboratory of the University of California, Merced, USA as an exchange Ph.D. student hosted by Prof. YangQuan Chen from March 2015 to September 2015. She is a Post-doctoral Fellow at Tallinn University of Technology, Estonia, since December 2018. Her research interests include control of diffusion systems, boundary control and boundary observer design of fractional distributed parameter systems

Baotong Cui received the Ph.D. degree in control theory and control engineering from the College of Automation Science and Engineering, South China University of Technology, in July 2003. He was a Post-doctoral Fellow at Shanghai JiaoTong University, from July 2003 to September 2005, and a visiting scholar in Department of Electrical and Computer Engineering, National University of Singapore, Singapore, from August 2007 to February 2008. He joined Jiangnan University, China, in 2003, where he is a Full Professor for the School of IoT Engineering. His research interests include systems analysis, control of distributed parameter systems, and stability of dynamical systems

YangQuan Chen (M’95–SM’98) received the Ph.D. degree in advanced control and instrumentation from Nanyang Technological University, Singapore, in 1998. Dr. Chen was on the Faculty of Electrical and Computer Engineering at Utah State University before he joined the School of Engineering, University of California, Merced in 2012 where he teaches “Mechatronics” for juniors and “Fractional Order Mechanics” for graduates. His research interests include mechatronics for sustainability, cognitive process control and hybrid lighting control, multi-UAV based cooperative multi-spectral “personal remote sensing” and applications, applied fractional calculus in controls, signal processing and energy informatics, distributed measurement and distributed control of distributed parameter systems using mobile actuator and sensor networks

Bo Zhuang is a Ph.D. candidate at the School of IoT Engineering of Jiangnan University. He joined the MESA Laboratory of the University of California, Merced, USA as an exchange Ph.D. student hosted by Prof. YangQuan Chen from December 2015 to June 2016. He is also an Associate Professor at Binzhou University. His research interests include analysis and control of distributed parameter systems, mobile agents, and coverage optimization
Corresponding author: J. Chen, B. T. Cui, and B. Zhuang are with the Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) and School of IoT Engineering, Jiangnan University, Wuxi 214122, China (e-mail: karenchenjuan.student@sina.com; btcui@jiangnan.edu.cn; bozhuang@jiangnan.edu.cn)
Received Date: 2018-07-25
Accepted Date: 2018-11-02

Abstract

Abstract

This paper is concerned with a control problem of a diffusion process with the help of static mesh sensor networks in a certain region of interest and a team of networked mobile actuators carrying chemical neutralizers. The major contribution of this paper can be divided into three parts: the first is the construction of a cyber-physical system framework based on centroidal Voronoi tessellations (CVTs), the second is the convergence analysis of the actuators location, and the last is a novel proportional integral (PI) control method for actuator motion planning and neutralizing control (e.g., spraying) of a diffusion process with a moving or static pollution source, which is more effective than a proportional (P) control method. An optimal spraying control cost function is constructed. Then, the minimization problem of the spraying amount is addressed. Moreover, a new CVT algorithm based on the novel PI control method, henceforth called PI-CVT algorithm, is introduced together with the convergence analysis of the actuators location via a PI control law. Finally, a modified simulation platform called diffusion-mobile-actuators-sensors-2-dimension-proportional integral derivative (Diff-MAS2D-PID) is illustrated. In addition, a numerical simulation example for the diffusion process is presented to verify the effectiveness of our proposed controllers.
- Centroidal Voronoi tessellations (CVTs),
- diffusion processes,
- mobile actuator-sensor networks (MAS-Net),
- PI control

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References

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Constructing a cyber-physical system framework based on centroidal Voronoi tessellations (CVTs).
Analyzing the convergence of the actuators location.
Developing a novel proportional integral (PI) control method for actuator motion planning.
Deriving optimal spraying control of a diffusion process with moving or static pollution sources.

An Improved Cooperative Team Spraying Control of a Diffusion Process With a Moving or Static Pollution Source

doi: 10.1109/JAS.2019.1911519

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通讯作者: 陈斌, bchen63@163.com

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