Part of the book: MATLAB
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
Wind turbine models and simulations are widely available, but the simulation of a wind farm is scarce. This chapter presents a systematic approach to simulate an offshore wind farm for smart cities. The subsystems of several variable-pitch wind turbines, namely, rotor blades, drivetrain, and induction generator, are modeled to form a wind farm. The total output power of the wind farm by considering multiple wind turbines with the wake losses (using the Jensen wake model) can be simulated with any input wind speed. In order to validate the accuracy of the simulation, a case study was performed on a German offshore wind farm called NordseeOst. The simulation shows promising results with an average error of approximately 5% when compared with the real-time output of the wind farm. The results showed that the simulation of a wind farm that often impeded by the lack of exact information is feasible before any site implementation for smart cities.
Part of the book: Modeling, Simulation and Optimization of Wind Farms and Hybrid Systems