Approach to optimization problems with controller and reference model tuning

Abstract The paper suggests an Iterative Feedback Tuning (IFT)-based approach in optimization problems ensuring both controller and reference model tuning. The cost function is introduced and Newton's method in terms of Gauss-Newton approximation is applied in the minimization of the cost function. The new IFT approach is derived using matrix notation. The particular case of PI controllers for servo systems is considered where the controlled plants are characterized by second-order integral type models. For these control systems the combination between IFT and Extended Symmetrical Optimum method is successful. Real-time experimental results for a PI-controlled servo system validate the IFT approach.

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