ENHANCING STABILITY AND REGULATION OF OUTPUT VOLTAGE IN BOOST CONVERTERS WITH LEARNING SLIDING MODE CONTROL

Abstract

Although DC to DC convertors might be considered as the most widely used circuits in power electronic, where a specific DC output voltage must be stabilized to a specific desired level, yet theses circuits unfortunately exhibit a nonlinear behavior. The nonlinearity in these circuits is primarily caused by the power switch, varying input voltages and loads, resulting in a converter instability, large overshoot, oscillations, and extended settling times. To mitigate these problems, a learning sliding mode control (LSMC) was introduced and compared with the proportional integral derivative sliding mode control (PIDSMC) fuzzy logic controller (FLC) as well. The study demonstrated that the LSMC provides a smooth output voltage, without chattering, compared with PIDSMC and FLC. Moreover, formulating LSMC might be considered a novel controlling method for DC to DC convertors as the LSMC represents an advancement in the control strategies for stabilizing output voltages in power electronic circuits. By comparing LSMC with classical PIDSMC and FLC, the paper provides a novel analysis of the effectiveness of different control approaches in addressing nonlinearity and instability in DC to DC converters.

Keywords

• dc to dc converter
• sliding mode control
• learning sliding mode control
• proportional integral derivative sliding mode control