Multi-Step Model Predictive Position Control Based on Reference Trajectory Tracking
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This article presents a multi-step model predictive position control algorithm specifically designed for planar motor systems. The implementation features a prediction horizon that calculates future system states over multiple time steps, optimizing control inputs through quadratic programming to minimize tracking errors. Simulation results confirm that the algorithm achieves precise control with minimal deviation from the reference trajectory. This control methodology is particularly valuable for industries requiring high-precision motion control, such as mechanical manufacturing and automotive systems. The algorithm's widespread applicability stems from its robust handling of system constraints and adaptability to various dynamic systems, making it increasingly favored across multiple industrial sectors for its precision and reliability.
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