Twist Optimization of a Helicopter Rotor Blade Using Support Vector Regression
Solving the Reynolds Averaged Navier-Stokes (RANS) equations is essential for an accurate estimation of the aerodynamic loads on the helicopter rotor blades. This is highly time consuming process, especially, in the case of blade shape optimization in which several RANS solutions are obtained using Computational Fluid Dynamics (CFD) solvers. A recent approach to diminish the duration of computation is to employ metamodels like machine learning techniques.
Read More
Optimizing PID Gains of a Vehicle using the state-of-the-art Metaheuristic Methods
PID controllers are important control methods that are widely used in industrial processes. Proper tuning of PID gains is critical for achieving the state-of-the-art system performance. Therefore, optimizing PID gains is an important research topic in the field of control engineering. In this study, PID controller gains are automatically tuned using metaheuristic optimization methods. These methods use an iterative approach to calculate optimal values of PID controller gains based on different optimization techniques.
Read More