Abstract
The dangers of poor pilot performance as well as time and place conditions, low altitude and climate, damage critical aircraft control system. The use of Unmanned Aircraft Vehicle or (UAV) in sensitive and important Operation is required and there is a need for autopilot that can tune the MAV in different environment conditions. Furthermore, designing the controller system is one of the main discussed Dynamic issues in Flying Objects. In this paper an attempted is made to determine the optimal coefficients of PID controller that can reject disturbances and still operate the MAV in stable positions. Basic PID controller is designed and is adopted to control the MAV, a modified techniques incorporating ISA-PID is designed to reject disturbances. The PID parameters are determined to be reduce the rise time less than 3 seconds, settling time to be less than 8 seconds and overshoot to be less than 5%. The developed model is suitable for PID controller in autopilot.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016 |
| Editors | Yihai Chen |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 475-480 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509022397 |
| DOIs | |
| State | Published - 18 Jul 2016 |
| Externally published | Yes |
| Event | 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016 - Shanghai, China Duration: 30 May 2016 → 1 Jun 2016 |
Publication series
| Name | 2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016 |
|---|
Conference
| Conference | 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 30/05/16 → 1/06/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- ISA-PID
- MAV
- PID controller
- Unmanned Aircraft Vehicle
- autopilot
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Software
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