Performance comparison of shunt active power filter for interval type-2 fuzzy and adaptive backstepping controllers

Hagras, Ashraf; Zaid, Sherif A.; Elkousy, A.A.T.; Saad, Shokry M.

doi:10.1504/ijmic.2014.060731

Cited by 1 publication

(1 citation statement)

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“…Nonlinear phenomenon is widespread in nature and nonlinear system is the most general but linear system is just one special case. Nonlinear adaptive method is applied in many fields, for example, gain-scheduled control [13][14][15], feedback linearization control [16], sliding mode control [17][18][19], nonlinear adaptive control [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Improved Adaptive Backstepping Sliding Mode Control of Static Var Compensator

Dong

Shen

2018

Energies

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The stability of a single machine infinite bus system with a static var compensator is proposed by an improved adaptive backstepping algorithm, which includes error compensation, sliding mode control and a κ -class function. First, storage functions of the control system are constructed based on modified adaptive backstepping sliding mode control and Lyapunov methods. Then, adaptive backstepping method is used to obtain nonlinear controller and parameter adaptation rate for static var compensator system. The results of simulation show that the improved adaptive backstepping sliding mode variable control based on error compensation is effective. Finally, we get a conclusion that the improved method differs from the traditional adaptive backstepping method. The improved adaptive backstepping sliding mode variable control based on error compensation method preserves effective non-linearities and real-time estimation of parameters, and this method provides effective stability and convergence.

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