Control of Pendubot with Chaotic Perturbation

Awootsopa, P.; Sritheerawirojana, U.; Sooraksa, Pitikhate; Komine, N.

doi:10.1109/iciea.2006.257162

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Swing-up control [ 10 ] for nonlinear models like SIMO is a good idea. Chaotic perturbation [ 11 ] can be applied to nonlinear models such as SIMO. Hybrid control [ 12 ] is combined with the neural network to form a new research direction.…”

Section: Dynamic Equation Of the Model Systemmentioning

confidence: 99%

Neural Networks Application for the Data of PID Controller for Acrobot

Danh

2022

The Scientific World Journal

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Acrobots are a system that has levels of operating states in many investigated cases, and they are subjects to many events during operation due to the mechanisms of locomotion processes. These states have been investigated in specific situations. Due to the limited nature of surveying under conditions without the aid of software fine-tuning the desired output values, designers have to create a number of algorithms that control the system most appropriately in a complex working environment of this system. In this study, the author has proposed design problems to suit the working needs. The author has modeled the objects to be investigated, and at the same time, the author has combined simulation of phenomena that have been documented from the theoretical model of this system before. Control an Acrobot system, including Neural Network Application for the data of the PID controller (closed form). Mathematical models, Simulink, are also presented specifically through this study. The simulation parameters have been adjusted to match the set criteria, and the reader’s perception will be more intuitive through simulation interpretations. Based on simulation data, the system performance analysis becomes more accurate than ever. The above suggestions are intended to serve vocational education and scientific research, and at the same time, they also contribute to suggesting new and unique ideas. The ANN is the most intelligent control method currently added in this study to firmly confirm its effectiveness in all problems related to artificial intelligence. Proposing control strategies for different models is also suggested by the author in the conclusion. Neural networks application is a highly applicable method because it works in sync with other methods. In other words, neural networks application can be applied to any situation based on given data. Specifically, in this study, the application of neural networks becomes more flexible and vivid thanks to the data of the PID controller. The purpose of this method is to increase the security of the system against the attack of hackers on facilities of the automatic control system. Simulation is done by Matlab.

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Section: Dynamic Equation Of the Model Systemmentioning

confidence: 99%

Neural Networks Application for the Data of PID Controller for Acrobot

Danh

2022

The Scientific World Journal

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Control issues, artificial neural network (ANN) for acrobot system

Danh¹

2023

EAI Endorsed Trans Context Aware Syst App

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Acrobot is a robotic system with several levels of operational states investigated by the author. Due to the limited nature of the investigation under certain ideal conditions, designers have to create some algorithms that control the system most appropriately in a given working environment. In this paper, the author proposed the problem of designing, modeling and controlling an acrobot system, including ANN. Mathematical models, Simulink are also presented in a specific way. Simulation parameters have been adjusted to be the most suitable and intuitive. Based on the simulation data, the performance analysis of the system becomes more accurate. Above suggestions are intended to serve vocational education and scientific research. ANN is the most intelligent control method currently added in this paper to firmly confirm its effectiveness in all problems. Proposing control strategies for different models is also applied by the author.

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Control of Pendubot with Chaotic Perturbation

Cited by 2 publications

References 6 publications

Neural Networks Application for the Data of PID Controller for Acrobot

Neural Networks Application for the Data of PID Controller for Acrobot

Control issues, artificial neural network (ANN) for acrobot system

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