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18 results with keyword: 'pso based neuro fuzzy sliding control robot manipulator'

PSO based neuro fuzzy sliding mode control for a robot manipulator

A neural network based sliding mode adaptive control (NNSMAC) which is a combination of sliding mode technique, neural network approximation and adaptive technique is designed

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2021
Adaptive Neural Network Based Fuzzy Sliding Mode Control of Robot Manipulator

The control law for proposed controller is as (4) form. K gain of the corrective control u c is adjusted with fuzzy logic and is the equivalent control u eq is computed by

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13
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2021
Adaptive Neuro-Fuzzy Inference System based control of six DOF robot manipulator

Inspired by the idea of basing the fuzzy logic inference procedure on a feedforward network structure, Jang [18] proposed a fuzzy neural network model - the Adaptive

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6
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2021
Adaptive Neuro-fuzzy Inference System Based Control of Puma  600 Robot Manipulator

In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based Computed Torque (PD) controller is applied to the dynamic model of puma 600 robot arm presented.. To validate

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2022
DEVELOPMENT OF A COMPUTATIONAL INTELLIGENCE COURSE FOR UNDERGRADUATE AND GRADUATE STUDENTS

Evolutionary Computing Neural Networks Fuzzy Systems Swarm Intelligence Neuro-Fuzzy Systems Neuro-Genetic Systems Neuro-Swarm Systems Fuzzy-PSO Systems Fuzzy-GA

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10
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2021
Simulation design of trajectory planning robot manipulator

Trajectory planning on robot manipulator by using SOM neural network and Fuzzy logic control is able to guide robot manipulator to reach the target points.. The obtained results

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10
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2021
Neuro-fuzzy Sliding Mode Controller Based on a Brushless Doubly Fed Induction Generator

This paper presents a hybrid control strategy called Neuro-Fuzzy Sliding Mode Control (NFSMC) based on the Brushless Doubly fed Induction Generator (BDFIG).. This replaces

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2020
Decentralized sliding mode control for an electrohydraulic robot manipulator

Despite the fact that the centralized approaches have attained significant achievements to improve the tracking performance of robots, but when the degree of freedom (D.O.F) of

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2021
ROBOT TRAJECTORY TRACKING WITH ADAPTIVE RBFNN-BASED FUZZY SLIDING MODE CONTROL

Experi- mental results demonstrate that the adaptive RBFNN- based fuzzy sliding mode control is applicable control scheme for trajectory tracking applications of robotic

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2020
Genetic Algorithm of Sliding Mode Control Design for Manipulator Robot

In this paper, a control parameter selection algorithm is proposed by genetic algorithm to select the gain switching (k) and sliding surface constant parameter (s) so that

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10
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2021
Artificial Neuro Fuzzy Logic PID Controller based on BF-PSO Algorithm

Keywords: ANFLC (artificial neuro fuzzy logic controller); BF (bacterial foraging); Hybrid learning; PID control; PSO (particle swarm

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9
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2021
University Of Louisville Graduate Application

University application consider for graduate studies, university of the graduation rates important investment content writer at university senior resident travel for the university

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10
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2022
Fuzzy Disturbance Rejection Control of Two Link Robot Manipulator

Figure 1.a shows the proposed coupled fuzzy controller and the rule base and the membership functions for the shoulder are shown in Figure 1.b and Table 1, and the elbow link rule

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9
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2020
Fuzzy logic control of a robot manipulator in 3D based on visual servoing

We design three fuzzy controllers for each angle, the construction of the fuzzy controller consists in defining the linguistic variable and the fuzzy terms associated with the

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6
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2021
Sliding Mode Control with RBF Neural Network for Two Link Robot Manipulator

The mathematical model of two DOF robot manipulator is designed in the form of differential equations and then feedback linearization technique is applied to

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6
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2020
Nonlinear Control Of Robot Manipulator Using Sliding Mode And Computed Torque Control Technique

During the sliding mode phase, although the system is robust towards invariance, the discontinuous control action to correct the trajectory error supposedly switches

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47
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2021
Two-Wheeled LEGO EV3 Robot Stabilisation Control Using Fuzzy Logic Based PSO Algorithm

The fuzzy logic controller is used to stabilise this robot with Particle Swarm Optimization algorithm for optimum performance of the system.. The result of the

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5
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2021
Adaptive sliding mode control with radial basis function neural network 
		for time dependent disturbances and uncertainties

Therefore, in this paper, a new Radial Basis Function Neural Network (RBFNN) based Adaptive Sliding Mode controller is designed for a robot manipulator which

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2020

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