journal article·2021-01-12Open access

Adaptive Tracking PID and FOPID Speed Control of an Elastically Attached Load Driven by a DC Motor at Almost Step Disturbance of Loading Torque and Parametric Excitation

Paweł Olejnik, Paweł Adamski, Damian Batory, Jan Awrejcewicz

Applied Sciences· Volume 11· Issue 2

Abstract

Adaptive tracking control of the speed of a very elastically attached circular load driven by a direct current motor accompanied with an adaptive conventional and a fractional-order Proportional Integral Derivative (PID) controller is studied. It refers to improving the closed-loop control system response of elastically coupled components of drivelines. The motor and the load mechatronic models and the block diagrams are constructed. Parameters of the PID controller in the model reference control are both constant, as well as vary in time. The adaptive control method is improved by the application of a new closed-loop control structure canceling error dynamics. A few competing control strategies are tested based on the application of two types low and high frequency stepwise increasing variations of loading torque and damping coefficient of motion. Moreover, the performance of the control strategies is verified by Integral Time-Weighted Absolute Error (ITAE) index, since their robustness is evaluated by applying a sine modulated triangle waves of selected electric parameters. Therefore, a dynamic forcing and parameter uncertainty is applied. Simulation results are compared for checking the proposed methods.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Iterative Learning Control Systems · Magnetic Bearings and Levitation Dynamics · Control Systems in Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Automation, Biomechanics and Mechatronics, Lodz University of Technology, Stefanowski Str., 90-924 Lodz, Poland

Department of Vehicles and Fundamentals of Machine Design, Lodz University of Technology, Stefanowski Str., 90-537 Lodz, Poland

Funding

Narodowe Centrum Nauki

References (23)

Show source-provided references
1. A comparison of conventional and nonconventional methods of DC motor speed control10.3182/20130606-3-XK-4037.00054 ↗
2. Mahmud, M., Motakabber, S.M.A., Alam, A.H.M.Z., and Nordin, A.N. (2020, January 28–29). Adaptive PID controller using for speed control of the BLDC motor. Proceedings of the 2020 IEEE International Conference on Semiconductor Electronics (ICSE), Kuala Lumpur, Malaysia.10.1109/ICSE49846.2020.9166883 ↗
3. Adaptive dynamical tracking control under uncertainty of shunt DC motors10.1016/j.epsr.2018.07.033 ↗
4. Ramírez-Cárdenas, O.D., and Trujillo-Romero, F. (2020). Sensorless speed tracking of a brushless DC motor using a neural network. Math. Comput. Appl., 25.10.3390/mca25030057 ↗
5. Mercorelli, P., Lehmann, K., and Liu, S. (2003, January 9–12). Robust flatness based control of an electromagnetic linear actuator using adaptive PID controller. Proceedings of the 42nd IEEE International Conference on Decision and Control, Regency Maui, HI, USA.
6. Zhang, W., Li, D., Lou, X., and Xu, D. (2020). Prescribed performance adaptive backstepping control for winding segmented permanent magnet linear synchronous motor. Math. Comput. Appl., 25.10.3390/mca25020018 ↗
7. An adaptive control study for a DC motor using meta-heuristic algorithms10.1007/s00500-017-2797-y ↗
8. Anti-oscillation and chaos control of the fractional-order brushless DC motor system via adaptive echo state networks10.1016/j.jfranklin.2018.07.004 ↗
9. Direct instantaneous torque control of brushless DC motor using firefly algorithm based fractional order PID controller
10. Embedded two level direct adaptive fuzzy controller for DC motor speed control10.1016/j.asej.2015.10.003 ↗
11. A fuzzy logic PI trajectory following control in a chaotically loaded real mechatronic dynamical system with stick-slip friction
12. An overview of ATmega AVR microcontrollers used in scientific research and industrial applications10.14313/PAR_215/15 ↗
13. Bio-inspired adaptive control strategy for the highly efficient speed regulation of the DC motor under parametric uncertainty10.1016/j.asoc.2018.11.002 ↗
14. Brushless DC motor control with unknown and variable torque load10.1016/j.ifacol.2018.07.353 ↗
15. Dini, P., and Saponara, S. (2019). Cogging torque reduction in brushless motors by a nonlinear control technique. Energies, 12.10.3390/en12112224 ↗
16. Application of Hamiltonian approach to an oscillation of a mass attached to a stretched elastic wire
17. Wang, J., Sun, D., Liu, S., and Zhang, X. (2017). Damping characteristics of viscoelastic damping structure under coupled condition. Math. Comput. Appl., 22.10.3390/mca22010027 ↗
18. Masroor, S., Peng, C., and Ali, Z.A. (2017). Event triggered multi-agent consensus of dc motors to regulate speed by LQR scheme. Math. Comput. Appl., 22.10.3390/mca22010014 ↗
19. Low-speed voltage-input tracking control of a DC-motor numerically modelled by a dynamical system with stick-slip friction10.1007/s12591-012-0114-x ↗
20. Vahaj, A., Rahideh, A., Moayed-Jahromi, H., and Ghaffari, A. (2019). Exact two-dimensional analytical calculations for magnetic field, electromagnetic torque, UMF, back-EMF, and inductance of outer rotor surface inset permanent magnet machines. Math. Comput. Appl., 24.10.3390/mca24010024 ↗
21. Diethelm, K. (2010). The Analysis of Fractional Differential Equations, Springer. Lecture Notes in Mathematics.10.1007/978-3-642-14574-2 ↗
22. On a numerical scheme for solving differential equations of fractional order10.1016/j.mechrescom.2008.05.003 ↗
23. Tao, G. (2003). Adaptive Control Design and Analysis, Wiley-IEEE Press.10.1002/0471459100 ↗