Design of an Extended Self-tuning Adaptive Controller

In the paper there is presented an extended strategy for a self-tuning minimum variance control system, by using an additional external integral component. In order to estimate the process parameters, a parameter estimator based on the Givens orthogonal transformation was used. The strategy was tested and validated for the case of a synchronous generator connected to a power energy system, considered as controlled process. The proposed solution tries to achieve two main goals: the control system stability, respectively a zero steady-state error. For certain plants, the second objective can be achieved by supplementing with an external integral component, operating in parallel with the minimum variance controller. The paper proves the necessity of this external integral component, under the conditions when the minimum variance control law cannot contain an integral term, which would destabilize the control system.