Journal SINTA 1
Enhanced Dynamic Control of Quadcopter PMSMs Using an ILQR-PCC System for Improved Stability and Reduced Torque Ripples
Journal of Robotics and Control (JRC) · Vol. 5 No. 6 (2024) · pp. 1652–1663
- ISSN
- 2715-5072, 2715-5056
- Published
- 2024-09-05
- Publisher
- Universitas Muhammadiyah Yogyakarta
- Language
- eng
Abstract
Quadcopter technology has developed fast because it’s flexibility and capacity for high maneuvers. What makes PMSM suitable for Quadcopter is their high power to weight ratio, reliability and efficiency. These motors allow the operation of torque and speed control which are important for stability and maneuverability in the flight of the aircraft. Nevertheless, certain and smooth flight caused by regulation of PMSM speed and current is necessary for stable and maneuverable movement. This work presents a new control strategy connecting the ILQR control to govern the speed while the PCC profit the dynamic response and control torque ripples. A comparison is made on the performance of the ILQR-PCC system with nominal Proportional-Integral (PI) control and ILQR. From the results it is evident that the ILQR-PCC system is far superior to both the PI & ILQR controller in regards to the dynamic response, the disturbances rejection capacity as well as reducing the current signal distortions hence reducing the torque ripples. Its working was evidenced in a nonlinear LQR-controlled quadcopter to track the reference accurately and to have minimum distortion in current regulation. The presented work improves the control systems of quadcopters: it introduces a reliable method that improves stability and increases the performance of the quadcopter; therefore, this paper contributes to the existing knowledge.
Keywords
Collaboration network of the authors
40 authors · 166 co-authorship links · 17 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Imam Ja’afar Al-Sadiq University
- Prince Sattam Bin Abdulaziz University
- University of Al-Ameed
- University of Mosul
- Al-Farahidi University
- INTI International University
- Sohar University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Saadaldeen Rashid Ahmed | Affiliation unknown | 11 |
| Yasin Bektaş | Affiliation unknown | 8 |
| Mohammed M Aldabbagh | Affiliation unknown | 7 |
| Faris Hassan Taha | University of Mosul | 6 |
| Sinan Q. Salih | Imam Ja’afar Al-Sadiq University | 6 |
| Enes Bektaş | Affiliation unknown | 5 |
| Jamal Fadhil Tawfeq | Al-Farahidi University | 4 |
| Hazry Desa | Affiliation unknown | 3 |
| Baqer A Hakim | Affiliation unknown | 3 |
| Tareq Hamad Abed | Affiliation unknown | 3 |
| Taif. S. Hasan | Affiliation unknown | 3 |
| Raed Abdulkareem Hasan | Affiliation unknown | 3 |
| Omer K Ahmed | Affiliation unknown | 3 |
| Sarah B. Ezzat | Affiliation unknown | 3 |
| Pritesh Shah | Affiliation unknown | 2 |
| Hilal A. Fadhil | Sohar University | 2 |
| Mohd Khair Hassan | Affiliation unknown | 2 |
| Noor Izzri Abdul Wahab | Affiliation unknown | 2 |
| Hussein I. Zaynal | Affiliation unknown | 2 |
| Safwan Nadweh | Affiliation unknown | 2 |
| Poh Soon JosephNg | INTI International University | 1 |
| Hissah Almutairi | Prince Sattam Bin Abdulaziz University | 1 |
| Abdullah Alqahtani | Prince Sattam Bin Abdulaziz University | 1 |
| Zinah S. Jabbar | Imam Ja’afar Al-Sadiq University | 1 |
| Shouket Abdulrahman Ahmed | Affiliation unknown | 1 |
| Shailesh Sonawane | Affiliation unknown | 1 |
| Arundhati Warke | Affiliation unknown | 1 |
| Sukrut Thipse | Affiliation unknown | 1 |
| Chetan Varma | Affiliation unknown | 1 |
| Iswanto Iswanto | Affiliation unknown | 1 |
| Murugesan D. | Affiliation unknown | 1 |
| Jagatheesan K. | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.