Adaptive Nonlinear Control of High-Performance motors through Multi-Level Inverters

TL;DR

This paper presents an adaptive nonlinear control approach for high-performance motors using multi-level inverters, combining integrator backstepping with full state feedback to improve position tracking accuracy.

Contribution

The study introduces a novel control scheme integrating integrator backstepping with multilevel inverters for enhanced nonlinear control of electric motors.

Findings

Improved position tracking performance with multilevel inverter control.

Validation of control approach through simulation comparisons.

Enhanced robustness over traditional control methods.

Abstract

Many real-world systems are governed by the time-dependent, nonlinear differential equations. Dynamics of an electrical system are also best described using the very equations. Being one of the preferred machines when using advanced control algorithms for electric drives, DC motor has been selected for position tracking. Defining dynamic equations of the motor derived from the theory of nonlinear equations, aided our simulations by overcoming the time dependency that might not be addressed satisfactorily using regular control topologies. We incorporated integrator backstepping methodology along with a Multilevel Diode Clamped Inverter to develop full state feedback (FSFB) position tracking controller. The results thus obtained by using the integrator backstepping algorithm along with multilevel inverter were compared to the output of ideal case circuit that generated results based on integrator backstepping algorithm alone. Simulation results provide further validation with control topology being investigated for the ideal circuit and the inverter circuit.