Comparison of GA tuned fuzzy logic and NARMA-L2 controllers for motion control in 5-DOF robot

Bhatia, Vinay; Kalaichelvi, V.; Karthikeyan, R.

doi:10.1080/1206212x.2017.1281038

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…In the present scenario, the automation environment leads us to deal with time-bound problems. In this context, many researchers prefer artificial neural network (ANN) in SPV generator as it offers better tracking speed, reduced power oscillation, and efficient performance over the previous demerits of other MPPT techniques [23][24][25][26][27][28]. Day by day it draws the attention of researchers because of its proficiency and demonstrates a superior performance with inherent and extraneous factors.…”

Section: Related Surveymentioning

confidence: 99%

An Efficient MPPT Technique Using MIASO Based NARMA-L2 Controller for SPV Generator

Chahar

Yadav²

2021

IJRER

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This paper describes an efficient solution to make a solar photovoltaic (SPV) generator more promising and acceptable to generate continuous power over the different inherent and extraneous unpredictable factors. A significant problem of the SPV generators is to harness optimal power and its complicated nonlinear power-voltage characteristics with multiple sags swells under shedding conditions and dynamic insolation patterns. A novel state-of-the-art technique of maximum power point tracking (MPPT) using multi-input and single-output (MIASO) based nonlinear autoregressive moving average controller (NARMA-L2) is used. It is employed to govern two inputs of two SPV generators by controlling one output duty cycle of one boost converter to take out continuous maximum power under macro and micro-dynamic environmental data. It can adjust power supply according to demand under the same or different insolation pattern. One of the strongest reasons to use this technique is to improve the system's performance to the next level of perfection as it can easily be able to differentiate the global point of maximum power (GPMP) and local point of maximum power (LPMP). Its efficient control capability with a large no of a database is showing its proficiency in uncertain nonlinear environmental conditions, and controllability of separate controllers for each SPV generator. In this paper, the post-performance in terms of least MSE (Mean Square Error) and the maximum efficiency is enhanced up to 98.15%, and 97 % for macro and micro environmental data respectively. The MATLAB simulation results of the SPV generator configuration with the proposed novel MPPT technique are found superior.

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Section: Related Surveymentioning

confidence: 99%

An Efficient MPPT Technique Using MIASO Based NARMA-L2 Controller for SPV Generator

Chahar

Yadav²

2021

IJRER

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“…Furthermore, positioning and installation are easy, and the price is not high due to the use of standard articles. (2) The second degree-of-freedom adopts the two-stage synchronous serrated belt to reduce the speed, which makes full use of the space of the boom, compact structure, constant transmission ratio, large transmission power, and high efficiency. However, there are certain requirements for installation, and some devices need to be adjusted.…”

Section: Transmission Structurementioning

confidence: 99%

“…As the main actuator of the robot, the robot arm has attracted great attention from engineers and technicians. It involves many disciplines such as materials science, control technology, sensor technology, computer technology, microelectronics technology, communication technology, artificial intelligence, and bionics [2,3].…”

Section: Introductionmentioning

confidence: 99%

Control of Robot Arm Motion Using Trapezoid Fuzzy Two-Degree-of-Freedom PID Algorithm

2020

Symmetry

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Symmetries play very important in the dynamics of robot systems. The relevant control of robot arm motion with fault diagnosis including the optimized fuzzy algorithm based on the error rate adjustment P, I, D value (Fuzzy PID algorithm) model relies on symmetry principles. A robot is a kind of mechanical device that can program and perform certain operations and mobile tasks under automatic control. The manipulator is a very complex multi-input multi-output non-linear system and the main actuator of the robot. This paper focuses on the design of a control algorithm for a two-degree-of-freedom (2-DOF) manipulator. First, the mathematical model of a 2-DOF articulated manipulator is established, that is, the functional relationship between the input driving force vector and the output rotation angle vector of a 2-DOF manipulator. Then, a set of trajectory planning algorithms are designed by using gradient model control, which can calculate the trajectory of the end-effector of a 2-DOF manipulator according to the user’s task requirements. The experimental results verify the effectiveness of the proposed algorithm.

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Speed Control of Separately Excited DC Motor Using NARMA-L2 Controller

Khan

Hussain

Yousaf

et al. 2022

2022 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP)

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Comparison of GA tuned fuzzy logic and NARMA-L2 controllers for motion control in 5-DOF robot

Cited by 7 publications

References 11 publications

An Efficient MPPT Technique Using MIASO Based NARMA-L2 Controller for SPV Generator

An Efficient MPPT Technique Using MIASO Based NARMA-L2 Controller for SPV Generator

Control of Robot Arm Motion Using Trapezoid Fuzzy Two-Degree-of-Freedom PID Algorithm

Speed Control of Separately Excited DC Motor Using NARMA-L2 Controller

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