Attitude control using an extended calssifier system algorithm for offline auto-tuning of a PID controller

Abbasi, Ehsan; Mahjoob, M. J.; Shafiekhani, Ali

doi:10.1109/icrom.2014.6991024

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…e comparison between the conventional PID and self-tuning PID base on fuzzy logic shows the superiority of the self-tuning PID compared to the PID for variable payload weight [32]. e effectiveness of the PID controller was enhanced by the implementation of a genetic algorithm to autotune the controllers in order to adapt to changing conditions [33]. Five different control systems that include a traditional PID controller, two fuzzy-PD controllers, and two controllers autotuned using a GA were designed based on the developed dynamic model and their performance was compared.…”

Section: Literature Surveymentioning

confidence: 99%

Modeling and Nonlinear Control of a Quadcopter for Stabilization and Trajectory Tracking

et al. 2022

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Section: Literature Surveymentioning

confidence: 99%

Modeling and Nonlinear Control of a Quadcopter for Stabilization and Trajectory Tracking

et al. 2022

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“…Since then, the robotics community has been working diligently at trying to make these ideas a reality by either designing a wide variety of robots i.e. AGV, UAV, robotic arm, humanoid [2], [3] or automating and improving vehicles like two-wheel vehicles i.e. bicycle, motorcycle and hover-board [4], [5].…”

Section: Introductionmentioning

confidence: 99%

An Innovative Human-Robot Cognitive Coupling in Industrial Robot Control and Manufacturing

Inoune¹,

Agunar²

2018

Preprint

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this paper demonstrates the groundwork for the structure and nature of Human-Robot Cognitive Coupling.The human mind is best at associating objects, while digital devices can only compare. Successful communication between robot and human agents involves translating human thought into unique numbers that can be compared, and translating these numbers back into a form that humans can understand. A cognitive robot is one capable of interpreting its own operational data.Working from a D&D project standpoint with a telerobot, a system is designed to utilize sensor data, extract usable profiles and information from them, and then apply them as a means of self-testing for nominal/off-nominal operations. If operations are considered off-nominal, the telerobot begins a sequence of recalling and comparing previous off-nominal occurrences to determine potential corrections. In this manner, a telerobot can apply previous 'experiences' in order to learn without the need for operator input. In the cognitive telerobotics, knowledge base is an important component to store required information. In this paper, a tool-centric knowledge base with learning capability is presented. In this paper, the knowledge can be updated based on the reinforcement learning algorithm at both global and local levels and knowledge fusion by coupling with operator's cognition.

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“…Considering a suitable control system to accomplish performance specifications in the presence of uncertainties (plant changes and external disturbances) is a key point in any feedback design [6,7]. There are many practical systems that have high uncertainty levels in their open-loop transfer functions which make it very difficult to create appropriate stability margins and good performance in command following problems for a closed-loop system [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Controller Using Quantitative Feedback Theory for a Vehicle Air Suspension System

Shafiekhani,

Mirsadeghi,

Torabi

2017

Preprint

Self Cite

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This paper presents the design of a robust controller for a vehicle air suspension system using Quantitative Feedback Theory (QFT). This study is primarily focused on control of linearized active air suspension system. For the purpose of simplicity, the dynamics of the air suspension system is modeled using a simple 2-DOF quarter car model. Uncertain dynamic system with different working condition has been considered for the vehicle air suspension system.

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Attitude control using an extended calssifier system algorithm for offline auto-tuning of a PID controller

Cited by 4 publications

References 13 publications

Modeling and Nonlinear Control of a Quadcopter for Stabilization and Trajectory Tracking

Modeling and Nonlinear Control of a Quadcopter for Stabilization and Trajectory Tracking

An Innovative Human-Robot Cognitive Coupling in Industrial Robot Control and Manufacturing

Design and Analysis of a Controller Using Quantitative Feedback Theory for a Vehicle Air Suspension System

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