Comparison of Metaheuristic Optimization Algorithms for Quadrotor PID Controllers

Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Smartphone Quadrotor Flight Controllers and Algorithms for Autonomous Flight

Some of the most interesting recent research in quadrotor flight is related to fully autonomous systems, i.e. only using onboard processing and sensing. Many researchers have demonstrated different aspects needed for autonomy and within the last couple of years some have even demonstrated fully autonomous flight. [1], [2] One of the biggest challenges is finding powerful lightweight mobile proc...

Parameter Meta-optimization of Metaheuristic Optimization Algorithms

Erklärung Hiermit erkläre ich an Eides statt, dass ich die vorliegende Arbeit selbstständig und ohne fremde Hilfe verfasst, andere als die angegebenen Quellen und Hilfsmit-tel nicht benutzt und die aus anderen Quellen entnommenen Stellen als solche gekennzeichnet habe. Abstract 1 Kurzfassung 2 1 Introduction 3 1.

Physics Based Metaheuristic Algorithms for Global Optimization

In recent years, several optimization methods especially metaheuristic optimization methods have been developed by scientists. People have utilized power of nature to solve problems. Therefore, those metaheuristic methods have imitated physical and biological processes of nature. In 2007, Big Bang Big Crunch optimization algorithm based on evolution of universe and in 2009, Gravitational Search...

Black Box Optimization of PID controllers for Micro Aerial Vehicles

When operating flying robots we repeatedly face the necessity of tuning controllers for particular electronic and physical configurations. In the spirit of embodied robotic learning we want to tune the controllers during the system’s closed-loop operation. We present an experiment applying a black box Bayesian optimization technique to the problem of tuning a hierarchical vertical position PID ...