Implementation of hybrid fuzzy sliding mode controller for power system stability

Author(s):  
Aadil Mehraj Wani ◽  
Shoeb Hussain ◽  
Mohammad Abid Bazaz
2012 ◽  
Vol 588-589 ◽  
pp. 684-687
Author(s):  
Xiang Yang You

A novel fuzzy sliding-mode structure has been proposed for Extend Kalman Filter (EKF) based on sensorless control of an induction motor in this paper. Fuzzy sliding-mode structure includes two nonlinear controllers, one of which is sliding mode type and the other is PI-fuzzy logic based controller. The new structure has two advantages: sliding-mode controller increasing system stability and PI-like fuzzy logic based controller reducing the chattering in permanent state. The scheme has been implemented and experimentally validated.


This article presents application of an optimized robust and nonlinear controller approach for dynamic stability of a multi machine power system integrated with VSC-HVDC transmission. To improve dynamic stability of the system, a super twisting Sliding Mode Control approach, whose gains are optimized by multi objective flower pollination algorithm is designed to enhance the system stability over a various operating conditions, such as three phase fault, dc link fault, converter and inverter parameter change, increase of the mechanical input of the generator and change of active and reactive power. The super twisting sliding mode controller is designed for its superiority in robustness and chattering free actions over conventional siding mode controller in which a hyperbolic tangent function is chosen for the sliding surface. A multi objective flower pollination algorithm is applied to find optimized gains of the super twisting Sliding mode controller, in order to improve the capacity of the controller and the dynamic stability of the system. The results are compared with STSMC and conventional PI controller. It is shown from the result that the proposed controller is more capable in settling the system in steady state from any abnormal condition quickly than SMC and PI controller


2018 ◽  
Vol 23 (17) ◽  
pp. 7831-7842 ◽  
Author(s):  
Aboubakeur Hadjaissa ◽  
Khaled Ameur ◽  
Mohamed Boutoubat

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