Resource optimization for emulation of behavioral models of mixed signal circuits on FPGA: a case study of DC-DC buck converter

2017 ◽  
Vol 45 (11) ◽  
pp. 1701-1741 ◽  
Author(s):  
Rahul Bhattacharya ◽  
Subindu Kumar ◽  
Santosh Biswas
Keyword(s):  
Buck Converter ◽  
Resource Optimization ◽  
Behavioral Models ◽  
Mixed Signal ◽  
Mixed Signal Circuits

Combining High-Resolution Pulsed TIVA and Nanoprobing Techniques to Identify Drive Strength Issues in Mixed-Signal Circuits

2010 ◽  
Author(s):  
V.K. Ravikumar ◽  
M.Y. Ho ◽  
R.R. Goruganthu ◽  
S.L. Phoa ◽  
V. Narang ◽  
...  
Keyword(s):  
High Resolution ◽  
Interesting Case ◽  
Circuit Analysis ◽  
Temperature Sensitive ◽  
Solid Immersion Lens ◽  
Induced Voltage ◽  
Process Change ◽  
Mixed Signal ◽  
Mixed Signal Circuits

Abstract This paper uses an interesting case study to highlight high-resolution pulsed thermal-induced voltage alteration (TIVA) with solid immersion lens (SIL) as a technique to isolate a temperature-sensitive failure in mixed-signal circuitry, followed by circuit analysis and nanoprobing to confirm a drive strength issue caused by a process change.

scholarly journals Swarm-Inspired Algorithms to Optimize a Nonlinear Gaussian Adaptive PID Controller

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3385
Author(s):  
Erickson Puchta ◽  
Priscilla Bassetto ◽  
Lucas Biuk ◽  
Marco Itaborahy Filho ◽  
Attilio Converti ◽  
...  
Keyword(s):  
Pid Controller ◽  
Optimization Algorithms ◽  
Optimization Methods ◽  
Buck Converter ◽  
Algebraic Solution ◽  
Nonlinear Load ◽  
Bee Colony ◽  
Arduous Task ◽  
Whale Optimization

This work deals with metaheuristic optimization algorithms to derive the best parameters for the Gaussian Adaptive PID controller. This controller represents a multimodal problem, where several distinct solutions can achieve similar best performances, and metaheuristics optimization algorithms can behave differently during the optimization process. Finding the correct proportionality between the parameters is an arduous task that often does not have an algebraic solution. The Gaussian functions of each control action have three parameters, resulting in a total of nine parameters to be defined. In this work, we investigate three bio-inspired optimization methods dealing with this problem: Particle Swarm Optimization (PSO), the Artificial Bee Colony (ABC) algorithm, and the Whale Optimization Algorithm (WOA). The computational results considering the Buck converter with a resistive and a nonlinear load as a case study demonstrated that the methods were capable of solving the task. The results are presented and compared, and PSO achieved the best results.

Verification of Analog/Mixed-Signal Circuits Using Symbolic Methods

2008 ◽  
Vol 27 (12) ◽  
pp. 2223-2235 ◽  
Author(s):  
David Walter ◽  
Scott Little ◽  
Chris Myers ◽  
Nicholas Seegmiller ◽  
Tomohiro Yoneda
Keyword(s):  
Mixed Signal ◽  
Mixed Signal Circuits ◽  
Symbolic Methods

Spectral Prediction for Specification-Based Loopback Test of Embedded Mixed-Signal Circuits

2010 ◽  
Vol 26 (1) ◽  
pp. 73-86 ◽  
Author(s):  
Hongjoong Shin ◽  
Joonsung Park ◽  
Jacob A. Abraham
Keyword(s):  
Mixed Signal ◽  
Mixed Signal Circuits
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