This chapter covers the development of a virtual simulation platform for training a semiautonomous robotic vehicle (SARV) operator via an open-source game engine called Unity3D. The SARV such as remotely operated vehicles (ROVs) is becoming increasingly popular in the maritime industry for risky jobs in inhospitable environments. The primary element in carrying out underwater missions in a hostile environment lies within the skills and experience of an ROV pilot. Training for ROV pilots is essential to prevent damage to expensive field equipment during the real operations. The proposed simulator differs from the existing simulators in the market is the use of modern game engine software to develop a “serious game” for ROV pilot trainee at much lower cost and shorter time-to-market. The results revealed that proposed virtual simulator can develop a high-fidelity virtual reality training for the underwater operation guided by classification society.
Part of the book: Autonomous Vehicles
The power demand has been increasing day by day due to population growth, new industrial development, etc. Meeting power demand is one of the challenge factors for fossil fuel-based power generation alone as well as the environmental issue of carbon footprint. Consequently, there is a need to concentrate on alternate energy sources to meet the power demand. In this chapter, the photovoltaic (PV) cell operation under various weather conditions is analysed, and based on the performance, the MPPT controller is developed by using fuzzy logic controller. The proposed system has been modelled in MATLAB environment, and the system performance has been analysed. Finally, the simulation results are evaluated and compared with IEEE 1547 standard for proving the effectiveness of the proposed system.
Part of the book: Fuzzy Logic Based in Optimization Methods and Control Systems and Its Applications