This paper presents the methods that have been developed for continuous time identification and control from discrete-time data at high sampling rate. A unified frame work for identification and control using time moments is presented in which delta operator was used. The theory of delta time moments was utilized to develop algorithms for load frequency control (LFC) in the case of power system stabilization (PSS). In electric power generation the system frequency and voltage magnitudes are very important factors which may be affected by active and reactive power changes. The active and reactive power must be controlled to stabilize the power system. Load frequency control (LFC) is used to control the real power for maintaining the desired system frequency. For tracking and control purpose a model reference framework is considered. This reference model is developed from the classical time, frequency and complex domain specifications which guarantee both stability and performance in model matching framework. Four control schemes may be defined as i) Inverse control using DTM(ICDTM) and ii) Pade Adapted Inverse control using DTM with error feedback (PICDTMEF) iii) Plant Delta Time Moment controller (PDTMC) iv) Pade adapted Delta Time Moment controller with Error feedback (PDTMCEF) have been developed in the proposed work using delta time moments for LFC. The algorithms were tested with numerical examples which demonstrate its efficacy.
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