Methodology for Measuring the Real-Time Transfer Function of Dynamic Systems in Operation
Abstract
This paper presents a robust methodology to measure the transfer function of a dynamic system in operation by applying a delta signal as input. The impulse response of the systems is analyzed in the Laplace domain, thus allowing us to obtain key information about their behavior, stability and performance. A comparative approach is proposed between the nominal transfer function and its measurement to detect faults or deficiencies, evaluating metrics such as gain margin and phase. In addition, a frequency domain analysis is used to identify alterations in the system dynamics. This methodology is useful for diagnosing and maintaining control systems, improving their reliability and robustness against operational variations and structural failures of the system.