Adaptive Model Predictive–Sliding Mode Control for Nonlinear DC Motor Systems
Abstract
This paper presents a novel hybrid control strategy combining Model Predictive Control (MPC) with Adaptive Sliding Mode Control (ASMC) for trajectory tracking in nonlinear DC motor systems. The proposed controller leverages the optimization capability of MPC and the robustness of SMC, while incorporating an adaptive mechanism to handle uncertainties and disturbances. Simulation results demonstrate superior performance with ISE of 806.68, IAE of 82.61, and ITAE of 390.40, showing significant improvement over conventional PID control especially under nonlinear friction and external disturbances.
How to Cite This Article
Khac Trung Kien (2025). Adaptive Model Predictive–Sliding Mode Control for Nonlinear DC Motor Systems . International Journal of Future Engineering Innovations (IJFEI), 2(6), 37-43. DOI: https://doi.org/10.54660/IJFEI.2025.2.6.37-43