International Journal of Power Electronics and Drive Systems (IJPEDS) Vol. 14, No. 1, March 2023, pp. 516~524 ISSN: 2088-8694, DOI: 10.11591/ijpeds.v14.i1.pp516-524  516 Journal homepage: http://ijpeds.iaescore.com Maximum power point tracker using an intelligent sliding mode controller of a photovoltaic system Sarah Abboud, Rachid Habachi, Abdellah Boulal, Semma El Alami Laboratory of Engineering, Industrial Management and Innovation, Faculty of Sciences and Technology, Hassan 1st University, Settat, Morocco Article Info ABSTRACT Article history: Received Mar 11, 2022 Revised Nov 4, 2022 Accepted Nov 17, 2022 The operating performance of a PV module/array is extremely reliant on the weather (temperature/irradiation) and non-linear. Thus, to ensure that the PV array produces the maximum possible power at any time and regardless of the external conditions, maximum power point tracking (MPPT) techniques are required. The solution suggested in this paper involves taking into account two cascaded controllers as follows; the incremental conductance (INC) controller, which is intended to provide a reference proportional to the PV array's optimal power PMPP, and the sliding mode control (SMC), which is in charge of controlling the GPV voltage. The strategy of the SMC is to design a sliding surface that defines the operating point. The SMC combined with the INC aims to achieve fast MPPT action on PV systems using cascade control. The proposed controller is robust to changing weather conditions. In order to evaluate what is done, the results are compared with the INC+PI controller. When an abrupt change occurs, the SMC has a low transient and arrives to equilibrium sooner than the INC+PI controller. the results are presented by the PSIM software, and demonstrate the SMC controller's performance while confirming that the new approach has increased both production and energy efficiency. Keywords: Boost converter Incremental of conductance MPPT PV systems Sliding mode control This is an open access article under the CC BY-SA license. Corresponding Author: Sarah Abboud Laboratory of Engineering, Industrial Management and Innovation, Faculty of Sciences and Technology Hassan 1 st University PO Box 577, Settat, Morocco Email: s.abboud@uhp.ac.ma 1. INTRODUCTION Solar photovoltaic energy is an important source, it is renewable, inexhaustible and non-polluting, which makes it increasingly used as a source of energy in various applications. For a good exploitation of all photovoltaic modules, the modules will be connected to a mechanism that enables the search and tracking of the maximum power point (MPPT). Getting the MPP with the lowest oscillation near the operational point is difficult, considerable work has therefore been devoted to improving the performance of the system, we cite, perturbation and observation (P&O) [1], incremental conductance (INC) [2], fuzzy logic (FL) [3] fractional open circuit voltage (FOCV) [4], and fractional short circuit current (FSCC) [5]. The major problem with all these MPPTs is the degree of dependence of the tracking response on the disturbance size. Additionally, even under stable conditions, the tracking signal oscillates approximately about its reference point [6]. To keep MPP monitoring accurate, a second loop, typically a PI controller, must be used [7]. Especially when the criteria for dynamic features and precision are quite strict, these control laws may not be sufficient or dependable. The MPP at a particular situation is typically the specific operating point for the system model, which needs to be linearized by using a sliding controller (SMC) to adjust the input