Robust control of a photovoltaic battery system via fuzzy sliding mode approach

Studies in Computational Intelligence Volume 709, 2017, Pages 115-142 Robust control of a photovoltaic battery system via fuzzy sliding mode approach (Book Chapter) Baldini, A.a , Ciabattoni, L.a , Felicetti, R.a , Ferracuti, F.a , Freddi, A.b , \ud Monteriù, A.a , Vaidyanathan, S.c a Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, Via Brecce Bianche, Ancona, Italy b SMARTEST Research Centre, Università degli Studi eCampus, Via Isimbardi 10, Novedrate, CO, Italy c Research and Development Centre, Vel Tech University, Chennai, Tamil Nadu, India View additional affiliations View references (43) Abstract In this chapter we propose a novel fuzzy sliding mode approach to manage the power flow of a Photovoltaic (PV) battery system. In particular, due to the inner stochastic nature and intermittency of the solar production and in order to face the irradiance rapid changes, a robust and fast controller is needed. Sliding Mode Control (SMC) is a well-known approach to control systems under heavy uncertain conditions. However, one of the major drawbacks of this control technique is the high frequency chattering generated by the switching control term. In the proposed solution, we introduce a fuzzy inference system to set the controller parameters (boundary layer and gains) according to the measured irradiance. A comparison of the designed Fuzzy Sliding Mode Control (FSMC) with two popular controllers (PI and Backstepping) is performed. In particular, FSMC shows better performances in terms of steady state chattering and transient response, as confirmed by IAE, ISE and ITAE performance indexes. © Springer International Publishing AG 2017