Positioning and Trajectory Tracking with Deflection Suppression in Flexible Link Robotic Manipulator Using PID-LQR Controller

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Abstract

This study aims to enhance the dynamic response of a flexible link robot manipulator (FLRM) to achieve faster positioning, improved trajectory tracking, and effective suppression of link deflection. A dynamic model of the FLRM was developed, and a hybrid control strategy integrating a proportional–integral–derivative (PID) controller with a linear quadratic regulator (LQR) was designed and implemented within the closed-loop system architecture. The complete system was modeled and simulated using MATLAB/Simulink. Initial simulations assessed the performance of the PID and LQR controllers independently. The PID controller yielded a rise time of 0.2617 s, peak time of 0.9434 s, settling time of 3.2394 s, and overshoot of 11.9676%. In contrast, the LQR controller demonstrated superior dynamic characteristics, with a rise time of 0.2505 s, peak time of 0.3489 s, settling time of 0.4769 s, and minimal overshoot of 0.0048%. To further enhance system performance and reduce trajectory tracking error, a hybrid PID–LQR controller was developed, incorporating refined PID parameters. Simulation results showed that the hybrid controller achieved a rise time of 0.1444 s, peak time of 0.2706 s, settling time of 0.2637 s, and overshoot of 0.5119%. These outcomes demonstrate that the PID–LQR hybrid controller significantly outperforms the individual PID and LQR approaches by achieving near-zero overshoot, faster response, and reduced stabilization time.

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Article Details

How to Cite
Okafor, S., Mbachu, C. B., Muoghalu, C. N., & Ekengwu, B. O. (2025). Positioning and Trajectory Tracking with Deflection Suppression in Flexible Link Robotic Manipulator Using PID-LQR Controller. Asian Journal of Science, Technology, Engineering, and Art, 3(4), 1131-1146. https://doi.org/10.58578/ajstea.v3i4.6278

References

Alam, W., Ali, N., Aziz, H. M. W., & Iqbal, J. (2018b). Control of flexible joint robotic manipulator: design and prototyping. 2018 International Conference on Electrical Engineering (ICEE), Lahore, Pakistan, 1-6, https://doi.org/10.1109/ICEE.2018.8566796

Alam, W., Mehmood, A., Ali, K., Javaid, U., Alharbi, S., & Iqbal, J. (2018a). Nonlinear control of a flexible joint robotic manipulator with experimental validation. Strojniški vestnik– Journal of Mechanical Engineering, 64(1), 47-55. https://doi.org/10.5545/sv-jme.2017.4786

Alandoli, E. A., Rashid, M. Z. A., & Sulaiman, M. (2017). A comparison of PID and LQR controllers for position tracking and vibration suppression of flexible link manipulator. Journal of Theoretical and Applied Information Technology, 95(13), 2949-2955. https://www.jatit.org/volumes/Vol95No13/7Vol95No13.pdf

Ekengwu, B. O., Eze, P. C., Asiegbu, C. N., Olisa, S. C., & Udechukwu, C. F. (2022). Satellite dish antenna control for distributed mobile telemedicine nodes. International Journal of Informatics and Communication Technology, 11(3), 206~217. DOI: 10.11591/ijict.v11i3.pp206-217

Ekengwu, B. O., Eze, P. C., Muoghalu, C. N., Asiegbu, C. N., & Achebe, P. N. (2024). Design of robust centralized PID optimized LQR controller for temperature control in single-stage refrigeration system. Indonesian Journal of Electrical Engineering and Informatics, 12(3), 726~738. DOI: 10.52549/ijeei.v12i3.5629

Eze, P. C., Onuora, A. E., Ekengwu, B. O., Muoghalu, C., & Aigbodioh, F. A. (2017). Design of a robust PID controller for improved transient response performance of a linearized engine idle speed model. American Journal of Engineering Research, 6(8), 305-313. https://www.ajer.org/papers/v6(08)/ZK0608305313.pdf

Eze P. C., Ugoh C. A., Inaibo D. S. (2021). Positioning control of DC servomotor-based antenna using PID tuned compensator. Journal of Engineering Sciences, 8(1), E9–E16, doi: 10.21272/jes.2021.8(1).e2

Eze, P. C., Muoghalu, C. N., Uebari, B., & Egbunugha, C. A. (2022). State variable feedback control of data centre temperature. International Journal of Advanced Networking and Applications, 14(1), 5250-5257.

Eze, P. C., Nwadike, S. U., Oyiogu, D. C., & Iroegbu, M. C. (2025). Hybrid PID-LQR Controller for Dynamic Response and Stability Enhancement of Synchronous Generator’s AVR System. Asian Journal of Science, Technology, Engineering, and Art, 3(3), 866-879. https://doi.org/10.58578/ajstea.v3i3.5693

Gupta, S., Singh, A.P., Deb, D., & Ozana, S. (2021). Kalman filter and variants for estimation in 2DOF serial flexible link and joint using fractional order PID controller. Applied Science, 11(15), 6693; https://doi.org/10.3390/app11156693

Mbaocha, C., Eze, P., & Uchegbu, V. (2015). Positioning control of drilling tool device for high speed performance. International Journal of Electrical and Electronics Research, 3(2), 138-145. https://www.researchpublish.com/papers/positioning-control-of-drilling-tool-device-for-high-speed-performance

Okoye, U. P., Eze, P. C., & Dennis, C. O. (2021). Enhancing the performance of AVR system with prefilter aided PID controller. Access International Journal of Research & Development, 1(1), 19-32.

Tuan, H. M., Sanfilippo, F., & Hao, N. V. (2021). Modelling and control of a 2-DOF robot arm with elastic joints for safe human-robot interaction. Frontiers in Robotic and AI, 8, 679304. https://doi.org/10.3389/frobt.2021.679304

Ullah, H., Malik, F.M., Raza, A., Mazhar, N., Khan, R., Saeed, A., & Ahmad, I. (2021). Robust output feedback control of single-link flexible-joint robot manipulator with matched disturbances using high gain observer. Sensors, 21(9), 3252. https://doi.org/10.3390/s21093252

Zhang, F. & Yuan, Z. (2021). The Study of Dynamic modeling and multivariable feedback control for flexible manipulators with friction effect and terminal load. Sensor, 21(4), 1522. https://doi.org/10.3390/s21041522

Zhu, M., Ye, L., & Ma, X. (2020). Estimation-based quadratic iterative learning control for trajectory tracking of robotic manipulator with uncertain parameters in IEEE Access, 8, 43122-43133. doi: 10.1109/ACCESS.2020.2977687