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What is Nonlinearities

Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications
Are non-smooth discontinuous characteristics of the system.
Published in Chapter:
Hybrid Adaptive NeuroFuzzy Bspline Based SSSC Damping Control Paradigm: Power System Dynamic Stability Enhancement Using Online System Identification
Laiq Khan (COMSATS Institute of Information Technology, Pakistan) and Rabiah Badar (COMSATS Institute of Information Technology, Pakistan)
DOI: 10.4018/978-1-4666-4450-2.ch026
This work explores the potential of Bspline based Adaptive NeuroFuzzy Wavelet control to damp low frequency power system oscillations using Static Synchronous Series Compensator (SSSC). A comparison of direct and indirect adaptive control based on Hybrid Adaptive Bspline Wavelet Control (ABSWC) is presented by introducing the online identification block. ABSWC with Identification (ABSWCI) provides the sensitivity information of the plant to control system. The parameters of the control and identification block are updated online using gradient descent based back propagation algorithm. The robustness of the proposed control algorithm has been evaluated for local and inter-area modes of oscillations using different faults. The nonlinear time domain simulation results have been analyzed on the basis of different performance indices and time-frequency representation showing that ABSWC effectively damps low frequency oscillations and incorporation of online identification optimizes the control system performance in terms of control effort which reduces the switching losses of the converter.
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Stabilization and Control of Mechanical Systems with Backlash
Different phenomena found in many kinds of systems which introduce a nonlinear behavior to the model.
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