A Backstepping Approach to Decentralized Active Disturbance Rejection Control of Interacting Boost Converters

Flatness-Based Decentralized Adaptive Backstepping Control of Cascaded DC–DC Boost Converters Using Legendre Polynomials

“…However, the system performance may be fragile during the non-nominal operating conditions such as the load and supply voltage changes (Gehan et al 2017). Other strategies such as flatness property have been developed for the boost converters (Linares-Flores et al 2014;Hernandez-Mendez et al 2017). This technique is useful to transform the system states into the canonical form.…”

“…This technique is useful to transform the system states into the canonical form. The backstepping control method based on the flatness property and uncertainty observers are reported in Hernandez-Mendez et al (2017) for paralleled boost converters. Other designs composed of flatness-variables have been addressed in Shtessel et al (2013) on boost and buckboost converters.…”

Bounded Control for DC/DC Converters: Application to Renewable Sources

“…Indeed, the technological progress and its rise in complexity of the required tasks, together with an always increasing demand of better performance, requires more advanced control methods. As a result, the development and application of control techniques different from the classic Proportional Integral Derivative (PID) for power converters is a well established research field, and its related literature is continuously enriched [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11].…”

“…Although the variety of advanced control results for DC/DC converters, only few of them take into account the physical limitations of the systems and how they impact on the performances and the operating region [4], [9], [11], [12], [13]. To develop an unbounded control law for systems for which large values for the control are prohibited, is quite accepted in literature.…”

“…When constraints on the control input are taken into account, the used control methods have some drawbacks: for example, calculation time due to the Linear Matrix Inequalities (LMI) methods (see [4], [12], [13]) or dynamics cancellation due to backstepping (see [9]) can generate a high error in the control with respect to small measurement errors.…”