Validation of Novel System Identification Approach Based on Forced Oscillations Using Open-Loop Experiment

Abstract

The parametric identification is the primary consideration in developing a sophisticated automated control system. However, most tuning and system identification methods require the use of non-standard equipment such as relay which could cause a significant error and in turn affect the accuracy of the entire industrial process. The novel approach to the system identification in closed-loop feedback is similar to old Ziegler-Nichols (ZN) experiment, but it does not include any additional equipment while identifying the points in three quadrants in the Nyquist diagram. After applying this method to identify one complex object i.e. servomechanism with only damped oscillations, it is necessary to validate the correctness of the obtained model. Conducting the laboratory experiment in the open-loop loop represents the best way of verifying stated approach, since the transfer function including the Nyquist diagram of the model may provide enough data for further analysis. The verification laboratory experiments confirmed applicability together with the effectiveness of the new method in considerably less idealized conditions compared to computer-based simulations.