MOSFSA-based CFBHSMC to enhance control accuracy and robustness of proton exchange membrane fuel cell>

The Proton Exchange Membrane Fuel Cell (PEMFC) is one of the most important eco-friendly energy conversion systems which provides electrical energy from chemical energy as a consequence of electrochemical reaction. The performance, accuracy and durability of PEMFC-based power generation system are strongly dependent on its control strategy and design methodology, which may be a challenging and complex task owing to all-inclusive dynamic mechanism of air conditioning system. This paper aims to propose a new Chattering Free Binomial Hyperbolic Sliding Mode Controller (CFBHSMC) for DC-DC boost converter to augment the system performance and guarantee the system accuracy in presence of model uncertainties and external disturbances. Due to nonlinearity of PEMFC system and its high control sensitivity, the design control scheme has been formulated as multi-objective optimization problem using Multi-Objective Stochastic Fractal Search Algorithm (MOSFSA). The optimal CFBHSMC can significantly reduce the chattering effect, ensure the fast convergence and enhance the tracking accuracy. To validate the proposed controller's capabilities, the simulation results have been compared with fuzzy controller, classic SMC and super-twisting SMC. The simulation results have revealed that the oscillation ranges of PEMFC system for fuzzy controller, classic SMC, super-twisting SMC and CFBHSMC are respectively achieved 8 × 10 –3 , 9 × 10 –3 , 4 × 10 –3 and 2 × 10 –4 , and also the average deviations of these oscillations from the reference signal are respectively obtained as 14×10 –3 , 5 × 10 –3 , 2 × 10 –3 and 1 × 10 –4 .