Optimized Nonlinear Integral Backstepping Controller for DC–DC Three-Level Boost Converters

Multi-level DC-DC converters have been widely used in automotive and other high-power applications. Thus, the control of these text multi-level is an emerging thematic power electronics to ensure their proper functioning. This paper provides a novel nonlinear three level boost converter (T-LBC) based on backstepping (BS) technique with integral action optimized using genetic algorithms (GA). Firstly, average state model T-LBC described. Then, this design BS controller; nevertheless, controller parameters are often determined manually, which may degrade quality. A algorithm-based optimization method applied establish best gains improve proposed efficiency. The asymptotic stability verified Lyapunov criteria. In order validate introduced under different scenarios, Matlab/Simulink environment used. addition, it compared controllers such as conventional backstepping, fuzzy logic, proportional–integral–derivate (PID) varying references highlight its performance further. Finally, designed experimentally by implementing dSPACE 1104 board. simulation experimental results show that presents performances terms settling time, overshoot steady-state error.