Genetic algorithm based parameters tuning for the hybrid intelligent controller design for the manipulation of mobile robot
TY Chang, CD Chang - 2019 IEEE 6th International conference …, 2019 - ieeexplore.ieee.org
In today's industrial automation era, mobile robot plays an important role. And continuous
improvement of mobile robot performance can be an important research topic. We use …
improvement of mobile robot performance can be an important research topic. We use …
Applying genetic algorithm to optimize the PID controller parameters for an effective automatic voltage regulator
T Aljaifi, A Bawazir, A Abdellatif… - Communications in …, 2019 - fazpublishing.com
Appropriate tuning of PID controller is crucial to minimize the system's steady state error and
gain overshoot. This is mainly due to the control system is usually nonlinear, time-variant …
gain overshoot. This is mainly due to the control system is usually nonlinear, time-variant …
[HTML][HTML] Performance investigations of APSO tuned linear and nonlinear PID controllers for a nonlinear dynamical system
SK Valluru, M Singh - Journal of Electrical Systems and Information …, 2018 - Elsevier
This paper investigates the performance of adaptive particle swarm optimization (APSO)
algorithm to find the best optimal gain parameters (K p, K i, K d) in linear PID (L-PID) and …
algorithm to find the best optimal gain parameters (K p, K i, K d) in linear PID (L-PID) and …
Optimal design of fuzzy PID controller with CS algorithm for trajectory tracking control
O Karahan, B Ataşlar-Ayyıldız - Intelligent Computing: Proceedings of the …, 2019 - Springer
A fuzzy PID controller tuned by Cuckoo search (CS) algorithm is proposed to control a highly
nonlinear 3 DOF robotic manipulator for trajectory tracking. For a fair comparison between …
nonlinear 3 DOF robotic manipulator for trajectory tracking. For a fair comparison between …
PID controller parameters enhanced founded on Artificial Fish Swarm Algorithm
BA Kouassi, Y Zhang, MJM Kiki… - Journal of Physics …, 2020 - iopscience.iop.org
Optimization issues are of great importance to both the industrial and scientific worlds.
Artificial Fish Swarm Algorithm (AFSA) is a clever optimization algorithm founded on a …
Artificial Fish Swarm Algorithm (AFSA) is a clever optimization algorithm founded on a …
[PDF][PDF] A novel tuning method of PID controller for a BLDC motor based on segmentation of firefly algorithm
AS Jaber - Indian Journal of Science and …, 2017 - sciresol.s3.us-east-2.amazonaws …
Abstract Background/Objectives: The efficient and robustness of motors speed control are
ones of the big challenges in electrical machines drive science. The control of PMDC motor …
ones of the big challenges in electrical machines drive science. The control of PMDC motor …
Comparative study of controller optimization techniques for a robotic manipulator
A robotic manipulator is a highly nonlinear, highly coupled, Multi-Input Multi-Output (MIMO)
and dynamic system. Being complex in nature conventional Proportional-Integral-Derivative …
and dynamic system. Being complex in nature conventional Proportional-Integral-Derivative …
Design of neural network-PID controller for trajectory tracking of differential drive mobile robot
TTK Ly, NH Thai, LT Phong - Vietnam Journal of Science and Technology, 2024 - vjs.ac.vn
This paper proposes the design of a neural network controller based on a sample controller
for controlling the trajectory-tracking motion of a differential drive mobile robot (DDMR) …
for controlling the trajectory-tracking motion of a differential drive mobile robot (DDMR) …