Journals / Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi / 2008 / Cilt: 21 Sayı: 2

A Nonlinear Programming Approach For The Swing-Up Control Problem

Pages
109–124
Publication Date
2008-12-31
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Simulation results for illustrative cases are included to validate the design method.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:A nonlinear programming approach for the inverted pendulum swing-up control is presented.
📊
Key Findings & Data:While the objective function provides energy increase in the system, physical restrictions of the system are handled in the constraints of the nonlinear programming model.
💡
Conclusion & Impact:Simulation results for illustrative cases are included to validate the design method.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Swing-up control problem · Inverted pendulum · Underactuated systems

Abstract

A nonlinear programming approach for the inverted pendulum swing-up control is presented. Even though it is an energy-based method, it uses fundamentally different mathematical tools to achieve the swing-up goal. The control problem translated into nonlinear programming model with appropriate objective function and constraints. While the objective function provides energy increase in the system, physical restrictions of the system are handled in the constraints of the nonlinear programming model. It is also shown that this model is intrinsically suitable for embedding any nonlinear system constraints. Simulation results for illustrative cases are included to validate the design method.

Özet

A nonlinear programming approach for the inverted pendulum swing-up control is presented. Even though it is an energy-based method, it uses fundamentally different mathematical tools to achieve the swing-up goal. The control problem translated into nonlinear programming model with appropriate objective function and constraints. While the objective function provides energy increase in the system, physical restrictions of the system are handled in the constraints of the nonlinear programming model. It is also shown that this model is intrinsically suitable for embedding any nonlinear system constraints. Simulation results for illustrative cases are included to validate the design method.

🔖

Cite This Article

YAZICI, A., KARAMANCIOĞLU, A. (2008). A Nonlinear Programming Approach For The Swing-Up Control Problem. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, Cilt: 21 Sayı: 2, 109–124. https://ajindex.com/articles/905181

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References (9)

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