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A new technique for improving the precision of dual-axis tetrahedron-based sensor with switching between pid and ann
Y Away, A Novandri, I Raziah, M Melinda - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a new technique for a dual-axis light tracking system using a
combination of Proportional Integral Derivative (PID) and Artificial Neural Network (ANN) …
combination of Proportional Integral Derivative (PID) and Artificial Neural Network (ANN) …
Genetic programming algorithm for designing of control systems
Genetic programming algorithms and other population-based methods are a convenient tool
for solving complex interdisciplinary problems. Their characteristic feature is that they flexibly …
for solving complex interdisciplinary problems. Their characteristic feature is that they flexibly …
Implementation of neural network based PID controller
R Jacob, S Murugan - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
This paper proposes neural network based Proportional-Integral-Derivative (PID) controller
for the purpose of position control in DC motor. The conventional PID controller is used in …
for the purpose of position control in DC motor. The conventional PID controller is used in …
[PDF][PDF] Soft Switching with Cascaded Transformers to Drive the PMDC Motor
P Ranjitha, V Dhinesh, M Muruganandam - International Journal of Advanced … - Citeseer
This paper presents a soft switching technique used along with the series connected
transformer to run a PMDC motor. The three level PWM circuits with two active switches and …
transformer to run a PMDC motor. The three level PWM circuits with two active switches and …
[PDF][PDF] Simulation and implementation of an embedded hybrid fuzzy trained artificial neural network controller for different DC Motor
M Muruganandam, I Thangaraju… - International Journal of …, 2014 - Citeseer
In this article, the speed of the DC motor is controlled by Hybrid Fuzzy-Neuro controller
(FNC). The Hybrid Fuzzy-Neuro controller is designed and tested for different types of DC …
(FNC). The Hybrid Fuzzy-Neuro controller is designed and tested for different types of DC …
Design and Simulation of a PID Neural Network Controller for PMDC Motor Speed and Position Control
RS Debes, T Kara - Avrupa Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
Direct current (DC) motors have many difficulties when controlling angular velocity in a
variety of applications. The perfect controller cannot be carried out by traditional control …
variety of applications. The perfect controller cannot be carried out by traditional control …
[PDF][PDF] Bidirectional Modular Multilevel DC/DC Converter with Wide Range of Control
M Saravanakumar, CH Naveena… - International Journal of … - Citeseer
In this paper we describe about the utilization of braking energy during regenerative braking
operation by using different cascaded multilevel topologies by interfacing of the super …
operation by using different cascaded multilevel topologies by interfacing of the super …
Improve performances of a laser tracking system by adopting a modified fuzzy neural network controller
Y Bai, D Wang - 2020 15th IEEE Conference on Industrial …, 2020 - ieeexplore.ieee.org
In this study, a modified fuzzy neural network controller (MFNNC) is proposed to improve the
control performance and tracking accuracy of a controller used in a laser tracking system …
control performance and tracking accuracy of a controller used in a laser tracking system …
Performance estimation of stability and fault analysis for BLDC motor using PID tune ANN controller with state space model [articol]
S Thirunavukkarasu, C Nagarajan - 2019 - dspace.upt.ro
In this article, the steady state stability and internal fault analysis of the Brushless DC motor
(BLDC) with Hybrid PID-ANN Controller has been analyzed with state space model. The …
(BLDC) with Hybrid PID-ANN Controller has been analyzed with state space model. The …
[PDF][PDF] BULLETIN OF MATHEMATICS AND STATISTICS RESEARCH
FST Al-azawi - researchgate.net
This research is concerned with a new procedure of self-tuning PID controller based on
neuro-perdictive control. A dreariness horizon optimal control problem is solved on line …
neuro-perdictive control. A dreariness horizon optimal control problem is solved on line …