Application of artificial dynamics to represent non-isolated single-input multiple-output DC-DC converters with averaged models

This paper presents for the first time the application of a method based on the transformation of the differential algebraic equations of non-isolated Single-Input Multiple Output (SIMO) DC-DC converters into a set of ordinary differential equations, by using artificial dynamics whose asymptotic convergence to the solution is guaranteed by the satisfaction of the relevant Lyapunov conditions. The mathematical formulation is simpler than in other formulations applied in the literature to study non-isolated SIMO DC-DC converters, and encompasses the use of sensitivity functions. The results show that the proposed solution represents in a fully accurate way the dynamics of the averaged models of Zeta Buck-Boost and Cúk Boost Combination converters

A novel model reference adaptive control approach investigation for power electronic converter applications

This paper demonstrates the viability and effectiveness of a novel adaptive control approach applied to power electronic converters. A methodology based on the formulation of a Lyapunov-based approach is showcased to represent the operation of a new adaptive controller for the regulation of two power converter topologies (Buck and Boost). The models of the Buck and Boost converter topologies include the parasitic parameters that represent the non-ideal components. The basic idea of the control approach is to demonstrate adaptive stabilization for the proposed non-linear system. The most important design specification to stabilize the system is to track the reference trajectory in such a way that the error on the output variable converges asymptotically to zero. This adaptation mechanism is explicitly designed so that the asymptotic stability of the equilibrium condition is guaranteed according to the Lyapunov theorem and sensitivity theory. The details of the design algorithm are explained in the paper. The proposed control approach has been compared to other Lyapunov-based control techniques proposed in literature for the same non-ideal converters. The results show that the proposed controller provides better level of robustness and performance than the other wellestablished Lyapunov based controllers. To verify the effectiveness of the controller in real time, a test bench has been set up with prototypes of both converters and the controller has been implemented using the Arduino microcontroller and the control system driven through the Matlab/Simulink platform

Application of Advanced Model Reference Adaptive Control for Bidirectional AC-DC Converters

Bidirectional AC-DC converters are used in many applications such as renewable energy systems, communication systems, and grid connection of electric vehicles. In this paper, a non-linear controller based on the Lyapunov-based model reference adaptive control approach is proposed for single-phase bidirectional AC-DC converters that incorporate active power factor correction circuits. The proposed controller dynamically adjusts the output power according to the grid conditions and user preferences while maintaining a nearly unitary power factor and a constant output DC voltage set as the reference value. The proposed controller also ensures the stability and robustness of the system under various operating conditions and disturbances. The performance of the proposed controller is compared with another Lyapunov-based control proposed in the literature to show that the proposed controller performs at least on par with the other controller in all aspects

Application of a Novel Adaptive Control Approach for the Regulation of Power Converters

In this paper, a novel model-reference adaptive control methodology is proposed for the regulation of two power converter topologies. The main controller objective is the asymptotic tracking of the reference trajectory provided as input. The tracking is achieved through the adaptive mechanism based on Torelli Control Box approach. The control methodology explicitly guarantees convergence and asymptotic stability of the system. The designed controller has been simulated on buck and boost power converters and its performance has been analyzed by subjecting the converters to varying load and voltage conditions. Under all the test conditions, the controller proposed performs better than a backstepping-based controller taken as a benchmark for both converters