... Publishing Limited Licensed re-use rights only Load frequency control Power system Fuzzy logic controller PID controller Control systems Fuzzy control Council of Scientific and Industrial Research (CSIR), New Delhi, India 22(0816)/19/EMR-II The need for electricity in every...

... 2021 11 03 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Fuzzy control Adaptive control Power systems stability Fuzzy PID controller Lyapunov–Krasovskii theorem MG system Currently, a wide range of renewable energy...

... i j   cos ⁡ ( δ i − δ j − θ i j ) ,   i = 1 ,   2 ,   … ,   n n   } Fuzzy control Circuit analysis Design optimization methodology Network topology Figure 1. Sample network The voltage drop (v_b) across all branches...

...) , the combination of type-2 fuzzy logic with sliding control is used to permanent magnet synchronous motor (PMSM) control. Control systems Fuzzy control Power electronic devices modeling Sliding mode control Recurrent RBFN Stability analysis PMSM. In the past decade, type-2 fuzzy logic has been...

... Fuzzy control Model-free adaptive control LED current control Robotic control Discrete-time systems Fuzzy-neural network Model-based control (MBC) methodologies have been reported in many industrial processes and practical applications with satisfactory results. Nevertheless...

... be contacted at: elsahayam@gmail.com 02 04 2016 11 06 2016 23 06 2016 © Emerald Group Publishing Limited 2016 Emerald Group Publishing Limited Licensed re-use rights only Mathematical modelling Computer simulation Fuzzy control DC-DC resonant converter LCLC resonant tank...

... the performance of the switching table. Then, it is combined with a fuzzy system to have advantages of both rotation sector and fuzzy controller. The paper aims to discuss these issues. Design/methodology/approach – In this paper, a new DPC of the DFIG is presented. To improve the performance...

... Control Motion Fuzzy control Magnetism Magnetic devices The control system was tested in the transient process, which was the step response to the speed reference change and the response to the step change of load torque – treated as a distortion. These tests were performed for different values...

... Equation 4 Equation 5 Equation 6 © Emerald Group Publishing Limited 2007 Neural nets Fuzzy control Modelling Simulation One of the important type of axial field machines (Ficheux et al., 2001 ; Cavagnino et al., 2000, 2002 ; Caricchi...

..., and pV₂=0. In this case, one can select the following relation to satisfy the condition pV₁<0 (Tursini et al., 2000): Equation 12 where γ is a positive design parameter. © Emerald Group Publishing Limited 2007 Fuzzy control Simulation Electric...

... Emerald Group Publishing Limited 2006 Programming and algorithm theory Fuzzy control Electric power systems The electric power system industry is evolving and getting more complex by the day, and so are the power system controls, e.g. generation control (excitation control and governor...

... voltage Transformers Fuzzy control There are many dc‐dc power conversion applications where the input voltage has to be converted into a high output voltage. To increase the output voltage to the required load voltage level a high‐ratio transformer is used at the output of the inverter. The non...

... information systems Fuzzy control The PfD is initially set by the FS. The PfD is represented as a stack of continuous maps, one for each consumer type, representing the potential growth of number of consumer per stage and per geographic unit (e.g. 20 domestic consumers per stage and per km²...