Chattering Free Adaptive Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking

Abstract

Photovoltaic system is utilized to generate energy that relies upon the ecological conditions, for example, temperature, irradiance, and the load associated with it. Considering the non-linear component of photovoltaic (PV) array and the issue of low effectiveness because of the variable natural conditions, the Maximum Power Point Tracking (MPPT) method is required to extract the maximum power from the PV system. The adopted control is executed utilizing an Adaptive Sliding Mode Controller (ASMC) and the enhancement is actualized utilizing an Improved Pattern Search Method (IPSM). This work employs IPSM based optimization approach in order to command the underlying ASMC controller. The upper level decision determines the sliding surface for the adaptive controller. As a non-linear strategy, the stability of the adaptive controller is guaranteed by conducting a Liapunov analysis. On the practical side, MATLAB/Simulink is used as simulator for the controller implementation and coupling with PSIM in order to connect it with the PV system object of control. The simulation results validate that the proposed controller effectively improves the voltage tracking, system power with reduced chattering effect and steady-state error. The performance of the proposed control architectures is validated by comparing the proposals with that of the well-known and widely used Proportional Integral Derivative (PID) controller. That operated as a lower level controller for a Perturb & Observe (P&O) and Particle Swarm Optimization (PSO).

A New Efficient Cuckoo Search MPPT Algorithm Based on a Super-Twisting Sliding Mode Controller for Partially Shaded Standalone Photovoltaic System

“…Due to these benefits, it has been widely used in various research and industrial applications [58]. However, the limit of the First Order SMC (FOSMC) solution in the existing literature is a chattering problem [59]. This phenomenon generates undesirable fluctuations in the output power and reduces the efficiency of energy harvesting.…”

“…Moreover, STSMC is known for its robustness and has precise tracking with fewer errors. It also responds well to changes and is easy to design and put into action [57,59,68].…”

The Journey Towards the Energy Transition: Perspectives from the International Conference on Environment and Electrical Engineering (EEEIC)

“…An innovative architecture for Maximum Power Point Tracking (MPPT) for PV systems was proposed in ref. [5] to reduce steady-state error and high-frequency oscillations of the panel voltage around the target value from the MPPT. Traditional controls combine Perturb and Observe (P&O) techniques for voltage reference production and PID controllers, resulting in an undesired chattering effect.…”