Assistant Professor and Dept of ECE
JSS Academy of Technical Education, Bengaluru
Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering
The concept of autonomous e-karts combines electric propulsion and autonomous driving technologies to create a new paradigm in go-kart-like vehicles. This abstract explores the key aspects and potential applications of autonomous e-karts. Autonomous e-karts offer a controlled and safe environment for testing and refining autonomous driving technologies. They serve as a testbed for developing and validating navigation algorithms, obstacle avoidance systems, and other related technologies. The knowledge gained from autonomous e-kart testing can be applied to more complex autonomous vehicles in various domains. In addition to testing, autonomous e-karts provide recreational and entertainment experiences. They can be utilized in recreational facilities, amusement parks, or dedicated karting tracks, providing an exciting and immersive experience for customers. Users can ride in an autonomous vehicle, experiencing the thrill of high-speed driving without the need for driving skills or lice
Kavitha H S, Manohar B S, Spandana S, and Shilpa Patil IEEE
A boost converter and the MPPT control mechanism will be used to monitor photovoltaic power. Photovoltaic module is initially tested using SIMULINK software. To achieve the project's principal purpose, the boost converter will be employed in conjunction with a Control mechanism for Full Power Point Monitoring. The MPPT is responsible for getting the maximum available power from the PV device and delivering it to the load via the boost converter, which boosts the voltage to the proper level. The main goal would be to track the solar module's maximum power point in order to extract the maximum electricity from it. The MPPT algorithms are generalized algorithms that are simple to model. The algorithms should be written in MATLAB m files and utilized in simulations. Both the solar cell and the boost converter can be modeled using Sim Power Systems blocks.
M. Sathya, K. Gunalan, S. ManoharB, T. Kumar, Shaik Shafi and G. Johncy
The phased array antenna is one of the most significant applications in fifth-generation mobile networks. It is one of the most important applications in fifth-generation networks. An electric power source that powers the whole application, including the antenna's root, is required. Even with the most outstanding design, if the programme does not have a sound power supply system with minimal packet loss and can't Path find performance, it will be rendered ineffective. When seen from the perspective of the multiplex information, Machine Learning comprises a communication network based on the Internet that transmits information to the control centre via the objects (IOT). To put it another way, the proposed communication infrastructure, via the provision of, and the chance micro-grid state to collect, analyze, and two-way communication link control information, offers the chance to resolve the voltage regulation issues. This cutting-edge communication infrastructure, as well as a suggested state estimation filter focused on improving speed and performance in renewable energy production, are both examples of creative communication infrastructure. Current research is focused on analyzing and enumerating a range of energy abundances in the context of smart grids, which are now in their fifth generation. Rather than concentrating on the future development plan, which should be a problem of illusion, it should concentrate on the composition of the future potential of smart grid communications framework. An in-depth investigation to give evidence to the Machine learning will help intelligent networks in the future conduct a thorough evaluation.
Spandana Shashikumar and B. S. Manohar Springer Singapore
Manohar B S and Banakara Basavaraja Institute of Advanced Engineering and Science
With a long coastal border of about 7500 Kms, India would need an efficient option of hybrid power generation in the coastal region. Abundant availability of wave power and sunlight due to its closeness to equator makes it clear base for power generation from wave generator and the solar power. This paper develops the implementation, which combines both the wave generator and the PV array for a hybrid power delivery controlled using Adaptive Neuro Fuzzy Inference Engine (ANFIS) controller. The super capacitor is used for higher efficiency compared to batteries. It absorbs power and delivers power fast, where it is more important in wave generation as the power and voltage is not stable. The power delivery improvement in this hybrid system while different controllers like the PI and the ANFIS controller is analysed. There is a higher power delivery improvement when ANFIS controller is chosen.