A Novel L2-Gain Nonlinear Control for Buck Converters with Adjustable Convergence Rate
摘要
This work presents a new two-stage control concept to DC-DC buck converters that attempts to optimize the output voltage tracking and disturbance rejection robustness. The technique uses linear and nonlinear state-feedback principles. The process is designed such that in the first stage, it develops a linear control law to optimize L2-gain performance that enables immediate and accurate response to disturbances while reducing tracking errors to a minimum. In the second stage, a complementary nonlinear control law is brought in, where the system’s damping rate is adjusted based on the conditions so that dynamic responses can be included in the controller. The test results show improvement in performance with the specified scheme over conventional sliding mode control, like a faster convergence rate during load variations, more than 70% reduction in the overshoot voltage, and zero oscillations due to chattering. Merging the two control laws offered a very high level of adaptability and robustness, which is preferable in operation under various conditions. This paper presents a robust dual-stage control system for power electronics and provides a firm platform to examine high-power systems.