Optimal design of real PID plus second-order derivative controller for AVR system

2021 ◽  
Author(s):  
Mihailo Micev ◽  
Martin Calasan ◽  
Milovan Radulovic
Keyword(s):  
Optimal Design ◽  
Second Order ◽  
Order Derivative ◽  
Avr System

PID Plus Second Order Derivative Controller for Automatic Voltage Regulator Using Linear Quadratic Regulator

2020 ◽  
pp. 262-287 ◽  
Author(s):  
Shamik Chatterjee ◽  
Vikram Kumar Kamboj ◽  
Bhavana Jangid
Keyword(s):  
Linear Quadratic Regulator ◽  
Second Order ◽  
Order Derivative ◽  
Voltage Regulator ◽  
Linear Quadratic ◽  
Automatic Voltage Regulator ◽  
Plot Analysis ◽  
Avr System ◽  
On Line ◽  
Terminal Voltage

This chapter presents linear quadratic regulator (LQR) for tuning the parameters of four-term proportional-integral-derivative plus second order derivative controller for controlling terminal voltage of alternator equipped with automatic voltage regulator (AVR) system. Different optimization techniques are considered for juxtaposition with the proposed controller on the basis of terminal voltage response profiles of the AVR system, and Bode plot analysis is carried out for comparing the frequency responses, and through root locus, the stability of the proposed controller is investigated. On-line responses are obtained by implementing a fast performing Sugeno fuzzy logic technique in the controller for working in off-nominal and on-line situations. The controller has undergone an investigation, while having changed system parameters, for the analysis of the robustness of the proposed controller. It is revealed that the performance of the proposed LQR-based controller exhibits a highly improved robust control system for controlling the AVR in power systems.

scholarly journals Plasma parameter profile inference from limited data utilizing second-order derivative priors and physic-based constraints

2021 ◽  
Vol 28 (3) ◽  
pp. 032504
Author(s):  
T. Nishizawa ◽  
M. Cavedon ◽  
R. Dux ◽  
F. Reimold ◽  
U. von Toussaint ◽  
...  
Keyword(s):  
Plasma Parameter ◽  
Second Order ◽  
Order Derivative ◽  
Limited Data ◽  
Parameter Profile

scholarly journals Estimation of Tadalafil Using Derivative Spectrophotometry in Bulk Material and in Pharmaceutical Formulation

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Zamir G. Khan ◽  
Amod S. Patil ◽  
Atul A. Shirkhedkar
Keyword(s):  
Wavelength Range ◽  
Area Under Curve ◽  
Pharmaceutical Formulation ◽  
Second Order ◽  
Order Derivative ◽  
Uv Spectrophotometry ◽  
First Order ◽  
Beer's Law ◽  
Beer’S Law ◽  
Derivative Uv Spectrophotometry

Four simple, rapid, accurate, precise, reliable, and economical UV-spectrophotometric methods have been proposed for the determination of tadalafil in bulk and in pharmaceutical formulation. “Method A” is first order derivative UV spectrophotometry using amplitude, “method B” is first order derivative UV spectrophotometry using area under curve technique, “method C” is second order derivative UV spectrophotometry using amplitude, and “method D” is second order derivative UV spectrophotometry using area under curve technique. The developed methods have shown best results in terms of linearity, accuracy, precision, and LOD and LOQ for bulk drug and marketed formulation as well. In N,N-dimethylformamide, tadalafil showed maximum absorbance at 284 nm. For “method A” amplitude was recorded at 297 nm while for “method B” area under curve was integrated in the wavelength range of 290.60–304.40 nm. For “method C” amplitude was measured at 284 nm while for “method D” area under curve was selected in the wavelength range of 280.80–286.20 nm. For methods A and B, tadalafil obeyed Lambert-Beer’s law in the range of 05–50 μg/mL while for “methods C and D”, tadalafil obeyed Lambert-Beer’s law in the range of 20–70 μg/mL, and-for “methods A, B, C, and D” the correlation coefficients were found to be > than 0.999.

Optimal design of planar frames based on approximate second-order analysis

2004 ◽  
Vol 36 (3) ◽  
pp. 281-290 ◽  
Author(s):  
Enrique Hernandez-Montes ◽  
Luisa Maria Gil-Martin ◽  
Mark Aschheim
Keyword(s):  
Optimal Design ◽  
Second Order ◽  
Order Analysis ◽  
Planar Frames
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