Observer-Based Control for a New Stochastic Maximum Power Point Tracking for Photovoltaic Systems With Networked Control System

Abstract

This study discusses the new stochastic maximum power point tracking (MPPT) control approach towards the photovoltaic cells (PCs). PC generator is isolated from the grid, resulting in a direct current (DC) microgrid that can provide changing loads. In the course of the nonlinear systems through the time-varying delays, we proposed a Networked Control Systems (NCSs) beneath an event-triggered approach basically in the fuzzy system. In this scenario, we look at how random, variable loads impact the PC generator's stability and efficiency. The basic premise of this article is to load changes and the value matching to a Markov chain. PC generators are complicated nonlinear systems that pose a modeling problem. Transforming this nonlinear PC generator model into the Takagi-Sugeno (T-S) fuzzy model is another option. Takagi-Sugeno (T-S) fuzzy model is presented in a unified framework, for which 1) the fuzzy observer-based on this premise variables can be used for approximately in the infinite states to the present system, 2) the fuzzy observer-based controller can be created using this same premises be the observer, and 3) to reduce the impact of transmission burden, an event-triggered method can be investigated. Simulating in the PC generator model for the realtime climate data obtained in China demonstrates the importance of our method. In addition, by using a new Lyapunov-Krasovskii functional (LKF) for combining to the allowed weighting matrices incorporating mode-dependent integral terms, the developed model can be stochastically stable and achieves the required performances. Based on the T-P transformation, a new depiction of the nonlinear system is derived in two separate steps in which an adequate controller input is guaranteed in the first step and an adequate vertex polytope is ensured in the second step.To present the potential of our proposed method, we simulate it for PC generators.

Adaptive event‐triggered tracking control for nonlinear networked systems with dynamic quantization and deception attacks

“…During the last few decades, with the rapid development of computers, embedded systems and wireless communication technologies, networked control systems (NCSs) have been widely used in industry, education and daily life, such as intelligent robotic systems, photovoltaic power generation systems, automated vehicles, and so on. [1][2][3][4][5] However, while NCSs have tremendous advantages, they face many challenges. On the one hand, in the process of network information interaction, due to the limited bandwidth of the network communication channels, excessive data transmission will cause network communication burden, which will destroy the stability of the system and reduce the performance.…”

“…During the last few decades, with the rapid development of computers, embedded systems and wireless communication technologies, networked control systems (NCSs) have been widely used in industry, education and daily life, such as intelligent robotic systems, photovoltaic power generation systems, automated vehicles, and so on 1–5 . However, while NCSs have tremendous advantages, they face many challenges.…”