scholarly journals Model reference self-tuning fractional order PID control based on for a power system stabilizer

2020 ◽  
Vol 11 (3) ◽  
pp. 1333
Author(s):  
M. A. Abdel Ghany ◽  
Mohamed A. Shamseldin
Keyword(s):  
Power System ◽  
Fractional Order ◽  
Optimization Technique ◽  
Power System Stabilizer ◽  
Model Reference ◽  
Self Tuning ◽  
System Stabilizer ◽  
Fractional Order Pid ◽  
Fuzzy Logic Technique ◽  
Operating Points

<p><span lang="EN-US">This paper presents a novel approach of self-tuning for a Modified Fractional Order PID (MFOPID) depends on the Model Reference Adaptive System (MRAS). The proposed self-tuning controller is applied to Power System Stabilizer (PSS). Takaji-Sugeno (TS) fuzzy logic technique is used to construct the MFOPID controller. The objective of MRAS is to update the five parameters of Takaji-Sugeno Modified FOPID (TSMFOPID) controller online. For different operating points of PSS, MRAS is applied to investigate the effectiveness of proposed controllers. The harmony optimization technique used to obtain the optimal parameters of TSMFOPID controllers and MRAS parameters. For different operating points with different disturbance under parameters variations the simulation results are obtained. This is to show that Self-Tuning of TSMFOPID based on (MRAS) have better performance than the fixed parameters TSMOFOPID controller.</span></p>

scholarly journals A novel self-tuning fractional order PID control based on optimal model reference adaptive system

2019 ◽  
Vol 10 (1) ◽  
pp. 230
Author(s):  
Mohamed Abdelbar Shamseldin ◽  
Mohamed Sallam ◽  
Abdel Halim Bassiuny ◽  
A. M. Abdel Ghany
Keyword(s):  
Fractional Order ◽  
Load Frequency Control ◽  
The Other ◽  
Control Technique ◽  
Order System ◽  
Optimal Model ◽  
Model Reference ◽  
Self Tuning ◽  
Fractional Order Pid ◽  
Model Reference Adaptive

<span>This paper presents a novel self-tuning fractional order PID (FOPID) control based on optimal Model Reference Adaptive Control (MRAC). The proposed control technique has subjected to a third order system case study (power system load frequency control). The model reference describes the requirements of designer. It can be first or second order system. The parameters of MRAC have obtained using the harmony search (HS) optimization technique to achieve the optimal performance. Sometimes, the tuning of the five parameters of FOPID control online at same moment consumes more calculation time and more processing. So, this study proposes three methods for self-tuning FOPID control. The first method has been implemented to tune the two integral and derivative parameters only and the rest of parameters are fixed. The second method has been designed to adjust the proportional, integral derivative parameters while the other fractional parameters are constant. The last method has developed to adjust the five parameters of FOPID control simultaneously. The simulation results illustrate that the third method of self-tuning FOPID control can accommodate the sudden disturbance compared to other techniques. Also, it can absorb the system uncertainty better than the other control techniques.</span>

MIMO self-tuning power system stabilizer

1991 ◽  
Vol 54 (4) ◽  
pp. 815-829 ◽  
Author(s):  
N. C. PAHALAWATHTHA ◽  
G. S. HOPE ◽  
O. P. MALIK
Keyword(s):  
Power System ◽  
Power System Stabilizer ◽  
Self Tuning ◽  
System Stabilizer

An Implicit Self-tuning Regulator as a Power System Stabilizer

1986 ◽  
Vol 19 (16) ◽  
pp. 101-105
Author(s):  
N.C. Pahalawaththa ◽  
G.S. Hope ◽  
O.P. Malik
Keyword(s):  
Power System ◽  
Power System Stabilizer ◽  
Self Tuning ◽  
System Stabilizer
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