Robust control and H∞ -optimization: tutorial paper
Automatica (Journal of IFAC)
Linear Optimal Control Systems
Linear Optimal Control Systems
Stable and optimal adaptive fuzzy control of complex systems using fuzzy dynamic model
Fuzzy Sets and Systems - Theme: Fuzzy control
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This paper present a robust automated control design of power system stabilizer (PSS) based on two advanced frequency control techniques: a loop-shaping H∞ controller (HinfPSS) and quadratic H2 approach (H2PSS). The control objective is to enhance the stability and to improve the dynamic response of a single-machine power system operating in different conditions. Simulation results show that this control strategy is very robust, flexible and alternative performance. The nonlinear model of the power system is constructed with the differential equations. In other part, the Linear Quadratic - Gaussian (LQG) control scheme (has the same structure as the traditional Russian AVR-PSS [4]), consists of an optimal state-feedback gain and a KALMAN state estimator, and equivalently in this paper on a robust H2 controller 'H2PSS', who was applied as a test control system in this paper. A detailed sensitivity analysis for a one-machine-infinite-bus system reveals that the fuzzy sliding-mode power system stabilizer is quite robust to wide variations in operating load and system parameters. Stabilizers suggested in this work have the same structure as the traditional Russian PSS. The simulation results show that a highs performances and robustness using the first regulation technique method based H∞ (HinfPSS) in comparison with using robust quadratic stabilizer (H2PSS).