Metamorphic controller for collaborative design of an optimal structure of the control system

When designing a control system, the customer specifies some control requirements and the expert provides the parameterized optimal controller. A change of the control algorithm to a more advanced one may lead to a better performance of the closed loop system. On the other hand, implementation and parameterization of the advanced controllers require more extensive knowledge. A possible solution is a group of cooperating experts that are able to determine the most suitable control algorithm, depending on the customer’s requirements. However, in practice, hiring more experts is an expensive approach. Hence, the performance of majority of industrial systems is not optimal. The paper presents the metamorphic controller with extended functionality for selection of an optimal control algorithm (including advanced controllers). As a result, only one expert, cooperating with the customer, is sufficient to ensure the optimal system performance. The proposed solution has been implemented and tested on the industrial controller. © Springer International Publishing Switzerland 2014.