Objective
The project will investigate for the installation of a new low temperature desulphurisation process, the effects of introducing fuzzy logic and neural networks on the machines and on the process cycles in order to transfer the results to a number of process engineering installations. These may lead to an absorption rate of 100% for desulphurisation.
It is important that the requirements for process control and monitoring are known early in the design process. It is possible to use neural networks combined with fuzzy logic in the sector of process engineering machines and processes for monitoring and as closed loop and control. A large part of process engineering processes is marked by a multitude of parameters changing over time concerning their influence on the process cycle. As this happens in processes that ought to be steadystate processes, due to the complexity of the process and the multitude of parameters, the remaining in the range of optimum efficiency cannot be reached with existing technologies. This would be possible by means of an intelligent open-loop control that records all parameters and results in feedback to the process design stage.
Funding Scheme
CSC - Cost-sharing contracts
Coordinator
38678 Clausthal-zellerfeld
Germany
Participants (3)
38678 Clausthal-zellerfeld
CF2 1XH Cardiff
16145 Genova
