A method of dynamic union control for intelligent mould bed system in ship block building

ABSTRACT

Mould bed is the most important equipment to control the deformation in the process of block construction. However, its height needs to be controlled separately based on the known height, and it affects the construction precision of block severely. Therefore, a dynamic union control method is proposed in this paper. Firstly, in order to realize the union control of mould bed system, the distribution types of mould bed system are defined, and a dynamic relationship is established, the determination algorithm number, position and height compensation layer number is proposed. Secondly, the fuzzy PID control based on neural network is used to realize the adaptive control of height according to the changes of pressure, so as to control the construction quality better of block. Thirdly, the MATLAB/Simulink module is used to verify the proposed method and shows that the response time is significantly shortened by 41% and 37.5% respectively.

KEYWORDS:

• Ship block construction
• dynamic control
• intelligence mould bed
• fuzzy neural network PID

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Defense Basic Scientific Research Program of China under Grant JCKY2018414C002, in part by the National Natural Science Foundation of China under Grant 52075229, and in part by Postgraduate Research & Practice Innovation Program of Jiangsu Province under Grant SJCX20_1450.

Notes on contributors

Zhen Wang

Zhen Wang was born in Henan China in 1995. He received the BS degree in mechanical manufacturing and automation from Zhengzhou University of Industrial Technology, China, in 2018. He is a postgraduate in the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. His research interest is digital design and manufacturing.

Xuwen Jing

Xuwen Jing was born in Jiangsu China in 1964. He received the BS degree in mechanical manufacturing and automation from Jiangsu University, China, in 1985 and MS degrees in mechanical manufacturing and automation from Harbin Institute of Technology, China, in 1991, and PhD degree in mechanical manufacturing and automation from Southeast University, Nanjing, China, in 2005. He has been a professor and Vice-President of Jiangsu University of Science and Technology, China. His research interests include concurrent engineering; computer integrated manufacturing system; virtual manufacturing and network manufacturing.

Youhui Cai

Youhui Cai was born in 1996 in Hubei, China. He received a bachelor's degree in vehicle engineering from Hubei University of Arts and Science in 2019. He is a postgraduate of the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. His research interest is drone stability control and its industry applications

Jinfeng Liu

Jinfeng Liu was born in Shandong China in 1987. He received the BS degree in mechanical manufacturing and automation from Qingdao Binhai University, China, in 2009 and MS degrees in mechanical manufacturing and automation from Lanzhou University of Technology, China, in 2011 and PhD degree in mechanical manufacturing and automation from Southeast University, Nanjing, China, in 2016. He is currently an associate professor with the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. His research interests include digital manufacturing, process planning and digital twin.

Tianhu Zhu

Tianhu Zhu was born in Jiangsu, China, in 1998. He received the BS degree in mechanical manufacturing and automation from Jiangsu University of Science and Technology, China, in 2020. He is a postgraduate in the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. His research interest is structural design and software development.

Honggen Zhou

Honggen Zhou was born in Jiangsu, China, in 1975. He received the BS degree in mechanical manufacturing and automation from Harbin Engineering University, China, in 1998 and MS degrees in mechanical manufacturing and automation from Jiangsu University of Science and Technology, China, in 2005, and PhD degree in mechanical manufacturing and automation from Southeast University, Nanjing, China, in 2012. He has been a Professor with the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. His research interests include digital manufacturing and digital twin.

Mingming Tang

Mingming Tang was born in Anhui, China, in 1995. He received the BS degree in mechanical design machine automation from West Anhui University. Now studying for the MS degree at Jiangsu University of Science and Technology. Now engaged in research on digital manufacturing.

Lei Li

Lei Li was born in Jiangsu China in 1981. He received the BS degree and MS degrees in mechatronic engineering from Nanjing Tech University, China, in 2004 and 2007, and PhD degree in mechanical manufacturing and automation from Southeast University, Nanjing, China, in 2016. He is currently an associate professor with the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. His research interests include process design of complex mechanical and electrical products; intelligent manufacturing.

Chunjin Li

Chunjin Li was born in Anhui China in 1972. He received the BS degree in mechanical manufacturing and automation from Hebei University of Engineering, in 1997 and MS degrees in School of vehicle engineering from Jiangsu University. His research interests include Shipbuilding technology and equipment development.

Lei Dong

Lei Dong was born in China in 1986. He received the BS degree in University of Chinese Academy of Sciences and the MS degree from Shenyang institute of computing technology, Chinese Academy of Sciences. His research interest is advanced digital engineering.