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Dergiler / International Journal of Aviation Science and Technology / 2020 / Cilt: 01 - Sayı: 02

A Comparative Study on the Tuning of the PID Flight Controllers Using Swarm Intelligence

Aziz KABA
Sayfa
80–91
Yayın Tarihi
2020-12-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Results are compared in terms of transient analysis and MC analysis to cover the rise time, settling time, percentage overshoot, steady – state error for the former and stochastic fitness evaluation for the latter, respectively.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:QUAVs have some shortcomings in terms of nonlinearities, coupled dynamics, unstable open – loop characteristics and they prone to internal and external disturbances.
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Temel Bulgular & Veri:Therefore, control problem of the QUAVs is still an open issue.
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Sonuç & Katkı:Results are compared in terms of transient analysis and MC analysis to cover the rise time, settling time, percentage overshoot, steady – state error for the former and stochastic fitness evaluation for the latter, respectively.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Quadrotor · UAV · PID

Abstract

QUAVs have some shortcomings in terms of nonlinearities, coupled dynamics, unstable open – loop characteristics and they prone to internal and external disturbances. Therefore, control problem of the QUAVs is still an open issue. Designed controllers based on the linear dynamics have limited operating ranges. Therefore, nonlinear dynamics of the QUAVs must be derived and used in the control problem. Although some advanced controllers are presented for QUAV control, PID controllers are the most employed, well – known controllers with the simple structure, ease of implementation, solid functionality and robustness amongst the variations up to a degree. In this paper, PID based controllers are proposed for the nonlinear attitude dynamics to overcome the control problem of the QUAVs. However, since optimality and tuning of the PID controllers are fuzzy due to trial and error approaches, swarm intelligence based metaheuristic algorithms (ABC, ACO and PSO) are employed to optimize the PID coefficients. Results are compared in terms of transient analysis and MC analysis to cover the rise time, settling time, percentage overshoot, steady – state error for the former and stochastic fitness evaluation for the latter, respectively.

Anahtar kelimeler
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Bu Makaleye Atıf Yap

KABA, A. (2020). A Comparative Study on the Tuning of the PID Flight Controllers Using Swarm Intelligence. International Journal of Aviation Science and Technology, Cilt: 01 - Sayı: 02, 80–91. https://ajindex.com/articles/764630

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Kaynakça (13)

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