Researchers Develop An Advanced 3D Control System To Strengthen Security Of A Trawl System
This New Year’s eve would you make a resolution list filled with winter special? If so, could Ice-fishing ever take up some space out of it? Then you might relate to the technological advances Dr. Zhao Yan and his team at the Wuhan University of Technology have ushered to rejuvenate a less popular section with electronics and control systems. The difference is that the research is about a bigger picture where a trawl system is used professionally to catch fish and serve a business with it.
There is a difference in the trawling techniques and types and as per the convenient sources semi-pelagic trawls are more advanced and used to capture fishes that live close to the water surface. Referring to its corresponding research paper, the team promises to bring a 3D tracking control system coupling with the net to help it follow complicated trajectory with ease.
The trawl system is made up of a set of mass-spring-bar. The movement of that trawl system can be mathematically explained using the state space equations. Further, a hierarchical backstepping controller is developed that powers the trawl system and its subparts ie. connected otter boards. As required, for analyzing the complete control instruction of the system, the state space model has been sub-divided in 6 parts.
The system is based upon lower and higher order state variables. For constructing the control outputs of the higher order variables, the team advanced a control algorithm based on a Sigmoid function. The method developed in this process has integrated fuzzy control was named "S-plane control†theory. Finally the data applied over a simulation project was tested successfully proving the usability of their research in empowering the security of trawl systems. The results were then published in the the Open Cybernetics & Systemics Journal.
Source: <a href="https://benthamopen.com/ABSTRACT/TOCSJ-10-180" target="_blank" rel="nofollow noopener noreferrer">A Parallel Hybrid Controller based on the Backstepping Method and S-plane Control for Three-dimensional Tracking of a Semi-pelagic Trawl System</a>
There is a difference in the trawling techniques and types and as per the convenient sources semi-pelagic trawls are more advanced and used to capture fishes that live close to the water surface. Referring to its corresponding research paper, the team promises to bring a 3D tracking control system coupling with the net to help it follow complicated trajectory with ease.
The trawl system is made up of a set of mass-spring-bar. The movement of that trawl system can be mathematically explained using the state space equations. Further, a hierarchical backstepping controller is developed that powers the trawl system and its subparts ie. connected otter boards. As required, for analyzing the complete control instruction of the system, the state space model has been sub-divided in 6 parts.
The system is based upon lower and higher order state variables. For constructing the control outputs of the higher order variables, the team advanced a control algorithm based on a Sigmoid function. The method developed in this process has integrated fuzzy control was named "S-plane control†theory. Finally the data applied over a simulation project was tested successfully proving the usability of their research in empowering the security of trawl systems. The results were then published in the the Open Cybernetics & Systemics Journal.
Source: <a href="https://benthamopen.com/ABSTRACT/TOCSJ-10-180" target="_blank" rel="nofollow noopener noreferrer">A Parallel Hybrid Controller based on the Backstepping Method and S-plane Control for Three-dimensional Tracking of a Semi-pelagic Trawl System</a>
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