Mid-Term Evaluation Documents Submitted

The mid-term evaluation documents were submitted to the Research Council on December 14, 2018. The final version of the documents are made available to the project partners in ProjectPlace – Documents – WP0 Administration – Mid-Term Evaluation – Final Documents. The documents are:

A) The centre self‐evaluation
B) Fact sheet for the centre
C) Host institution assessment
E) Project description for the final three‐year period and further plans

Documents D) are the individual partner evaluation reports and these are not shared with all the partners in the centre.

Mid-Term Evaluation

The site visit in conjunction with the mid-term evaluation of SFI Offshore Mechatronics takes place on March 14, 2019.

The deadline for submission of all documents is December 14, 2018. Currently the documents are in final review stage by the WP-Leaders and centre administration before submission to the research council.

New Steering Board Elected for 2019-2020

The General Assembly of SFI Offshore Mechatronics elected the following new board members for the period 2019-2020 on November 15, 2018:

Industry Partners:
Leif Haukom (GCE NODE, re-elected as Chair person)
Charlotte Skourup (ABB, re-elected as deputy Chair person)
Morten Halvorsen (NOV, re-elected member)
Sjur Henning Hollekim (MHWirth, new member)
Eivind Gimming Stensland (MacGregor, re-elected deputy member)

In addition, the new board will consist of the following members from the research partners:
Geir Grasmo (UiA, re-elected)
Philipp Schubert (RWTH Aachen, new member)
Houxiang Zhang (NTNU Aalesund, new member)
Thor Arne Håverstad (NORCE, re-elected deputy member)

WP7 Workshop on AI+Safety

GCE NODE organized a workshop on AI+Safety on October 15 at Tordenskjolsgate 9, Kristiansand.

The agenda for the workshop was:

09:00 – 09:05 Welcome GCE NODE
09:05 – 09:35 Remote presentation, AI + SAFETY, https://ai-and-safety.dnvgl.com, Simen Eldevik, PhD., DNVGL
09:35 – 10:00 Questions, All
10:00 – 10:30 Identify barriers in AI for offshore industry, Discussion all
10:30 – 10:40 Break
10:40 – 1100 Ideas and roadmap for AI for offshore industry, Groups
11:00 -11:30 Presentation of the GCE NODE Business Development Lab
11:30-12:30 Lunch

WP6 Workshop on Graph Signal Processing

On October 25 the WP6 Leader prof. Baltasar Beferull Lozano organized a workshop on the fundamentals of Graph Signal Processing, together with his colleagues Dr. Daniel Romero and Dr. Luis Miguel Lopez Ramos. Several participants from industry attended, in addition to researchers from UiA. The agenda for the workshop was as follows:

10-12: Basics of Graph Signal Processing, possible applications in different domains (within the SFI OM project) and Feedback from industrial partners.

13-14: Brief review of already well-functioning cooperation cases with industrial partners in WP6.

14-15: Exploration of new cooperation opportunities with industrial partners, associated use cases and strategies.

PhD Candidate Hired by Industry Partner

With a lot of mathematics and programming the PhD candidate Sondre Sanden Tørdal has developed a technology which compensates for movements and enables cranes on ships to make stable lifts in rough sea.

Article by: Sissel Eikeland

PhD candidate Sondre Sanden Tørdal at UiA was offered employment contract at the R&D department at MacGregor Norway before he handed in his PhD thesis in mechatronics.

Sondre Sanden Tørdal at the University of Agder has developed robot technology and is employed by MacGregor Norway before he handed in the final version of his PhD thesis in mechatronics. The thesis will be handed in during October 2018. Afterwards Tørdal will join the R&D team at MacGregor Norway to continue development of the technology.

Load handling on ships are risky operations. This technology has the potential to reduce risks, increase safety and efficiency. It will be exciting to develop this technology further at MacGregor towards a product, says Tørdal.

The first to submit the PhD thesis in SFI Offshore Mechatronics
Tørdal completed both his bachelor and his master education in mechatronics at UiA and started as a PhD candidate in 2015 in the research centre SFI Offshore Mechatronics. This project is the largest ever coordinated by UiA. The project period is from 2015-2023 and the goal is to increase collaboration and innovation with research active companies in industry and other excellent research groups in Norway and abroad.

Currently the centre has 22 PhD candidates, 2 Post.Docs and 42 Bachelor and Master thesis projects in various fields at UiA, Aalborg University, NTNU and RWTH Aachen. Tørdal is the first SFI PhD candidate to complete his project at UiA.

The centre leader for the SFI and Tørdal’s supervisor, Geir Hovland, congratulates Sondre with his new position at MacGregor. “Sondre has shown a great enthusiasm throughout his PhD period and put in a large effort. In total he has spent 8 years on UiA Campus Grimstad”, says Hovland.

MacGregor got a demonstration
MacGregor is a supplier of engineering solutions and services within maritime and offshore load handling. On September 7 the management team at MacGregor Norway visited UiA’s mechatronics lab in Grimstad. There they got a demonstration of the technology developed by Tørdal. In the lab they got to see two Stewart platforms which moved similar to offshore vessels in waves.

Høye G. Høyesen is the CEO of MacGregor Norway and he is convinced that this technology is something the industry can make use of.

The management team in MacGregor Norway visited the motion-lab in Grimstad and got a demonstration by PhD candidate Sondre Sanden Tørdal’s robot technology. From left: Jan Martin Grindheim, Eivind Gimming Stensland, Geir Grasmo (UiA), Ingvar Apeland, Bjørn Fossestøl, Rune Klausen, Tor Eide, Høye G. Høyesen, Sondre Sanden Tørdal, Geir Hovland (UiA) and Geir Roland.

– The research done in the SFI Offshore Mechatronics is a valuable resource for the industry. The robot technology which Tørdal has developed will contribute to safer transportation and load handling at sea. We live in an interesting time when industrial machines become increasingly more automated and autonomous. I am convinced that this technology will become further developed into a product which MacGregor can sell, says Høyesen.

MacGregor has been involved in Tørdal’s project since the beginning in 2015. Høyesen says that the collaboration with the SFI centre is very exciting and one result is the fact that MacGregor “hijacks” Tørdal to work for them and to realize the technology into a product.

A financial perspective
The leader for the R&D department in the offshore division at MacGregor and Tørdal’s new colleague is Eivind Gimming Stensland. He is currently in the management board in the SFI Offshore Mechatronics centre and has watched Tørdal during the entire project period. He is impressed by what Tørdal has developed and is very satisfied that he now joins MacGregor to develop the product further. Gimming Stensland tells that the technology is very relevant as part of MacGregor’s digitization process.

– From a financial perspective this product will contribute to more efficient load handling operations. Ships can deliver more cargo in the same amount of time as before and this will result in added value for our customers. The technology will make us less dependent on weather windows and give more time for heavy lifts. As a result of this less fuel is consumed and the environmental impact is reduced, says Gimming Stensland.

One of the goals of the SFI is to contribute to growth and innovation within the maritime industry, create new jobs and companies with potential within the offshore sector and outside. The collaboration with MacGregor plays a central role to achieve these goals-

– The SFI centre is very satisifed with the collaboration with MacGregor, says Hovland, and says also that the visit from the management team gives the centre a motivation boost to continue its work.

Test of patience for Tørdal
The University of Agder was the first educational institution in Norway to offer a degree in mechatronics at both bachelor and master levels. The education program gave Tørdal continuously confirmations that this was an exciting field to work in, and that was the reason for him to continue from bachelor to master, and from master to PhD.

– At bachelor and master levels I felt that the learning process went well, and it was both interesting and challenging. It has been very exciting to build and further develop Motion Lab to what it has become today. That process has, at times, been both frustrating and challenging, while it gave me a drive to continue the development of the technology. In the PhD thesis the complexity of my work kept increasing, and that was particularly motivating.

The project has been a test of patience for Tørdal. As an advice to other students who struggle to decide what to become or to research on, he says: Choose something which makes you happy and don’t listen to others!

Below is a video demonstrating Tørdal’s solution, showing damping of a swinging payload in presence of wave-induced motions simulated by the two Stewart platforms. The industrial robot with a winch mounted simulates a scaled-down offshore crane.

Level 2 Paper Accepted

SFI Offshore Mechatronics has it’s first level 2 paper accepted: Sondre Sanden Tørdal and Geir Hovland, “Ship-to-Ship State Observer using Sensor Fusion and the Extended Kalman Filter”, ASME Journal of Offshore Mechanics and Arctic Engineering, Accepted for publication, September 2018.

This journal is classified as Level 2 (the highest) in Norway, see: https://dbh.nsd.uib.no/publiseringskanaler/KanalTidsskriftInfo.action?id=443451&bibsys=false&request_locale=en

A new crane control and estimation laboratory

Figure 1. A new crane laboratory at NTNU, Trondheim.

The construction of the new crane laboratory at NTNU, Trondheim has been finalized. The laboratory features a down-scaled version of a knuckle boom crane, which will be used for testing and developing control and estimation algorithms for offshore operations. The PhD candidate Andrej Cibicik (NTNU), who is responsible for the design and assembly of the laboratory, thinks that the research results will provide significant value for the industry.

– The lab itself was built from scratch, so I had a lot of flexibility to make it as versatile as possible. I decided from the start that we should have industrial control hardware in the loop, so that our implementation schemes can be easily transferred to industrial applications. I think that our group at NTNU has achieved a very good theoretical level in the areas of modeling, control and estimation. The next step is to demonstrate to the industry partners how the equations work in practice.

Today, the safety and feasibility of offshore crane operations depends very much on the skills and experience of the crane operator. With this new laboratory we can test and benchmark different automated control approaches for performing safe crane operations in demanding conditions. Andrej Cibicik is collaborating with his colleagues Aksel Sveier (NTNU), Alexander Meyer Sjøberg (NTNU) and Geir Ole Tysse (NTNU). Professor Olav Egeland (NTNU) is the leader for the working packages WP2 and WP4, he is positive about the collaboration between the PhD candidates.

Figure 2. PhD researchers: (from left to right) Alexander Meyer Sjøberg, Geir Ole Tysse, Aksel Sveier and Andrej Cibicik.

Andrej Cibicik adds:

– We want to study possibilities of damping the sway of the payload at the specific position, as well as possibilities of following trajectories while minimizing the sway of the payload. My own research is mainly focused on modeling and control, but the controller is dependent on measured or estimated systems states. Some of the states are very difficult or even impossible to measure, here a reliable estimation procedure comes into play. Luckily, I have several colleagues working with advanced estimation and filtering.

Aksel Sveier is working on implementation of 3D vision sensors and sensor fusion for offshore applications. He thinks there is a large potential for the technology in the industry.

– My research is focused on estimating and tracking position and orientation of dynamic objects and systems using mainly 3D vision sensor technology. The 3D camera enables us to track virtually any object (or several objects) even in poor lighting conditions. We have already conducted several experiments in the lab where we have tracked the crane load using a 3D camera. Potentially, we can also track other equipment and personnel on the drill floor thanks to the flexibility of this 3D vision system. In addition, the estimation and filtering techniques I use enable sensor fusion with other sensors, such as 2D cameras and IMUs, so we can achieve the robustness that is required in an offshore operation.

Alexander Meyer Sjøberg and Geir Ole Tysse are looking at the alternative solutions for tracking of the crane payload.

– We are looking at the application of 2D vision sensors for object tracking in the context of motion compensation. The 2D cameras are known to be very precise sensors under favourable conditions, however the implementation is challenging for real-life cases. We want to investigate the robustness of the technology on its own and in combination with other sensors. The price of the 2D sensors is relatively low and they can easily be mounted on the crane boom or any suited location on the ship to track the motion of the payload, or the other vessel.

Center leader Geir Hovland welcomes the new lab facility at NTNU. The work done on sensors, sensor fusion, algorithms and the scaled-down knuckle boom crane is highly relevant for the research centre SFI Offshore Mechatronics and it’s industry partners.