Agile Flight Vehicle Roll Autopilot Design for Reducing Channels Coupling Effects

, M.Sc. Thesis Sharif University of Technology Rezazadeh Mohammadi, Masoud (Author) ; Fathi, Mohsen (Supervisor)

Abstract

In this project roll channel autopilot of an agile flight vehicle has been studied. In skid-to-turn tactical flight vehicles according to the type of control strategy, for achievment of acceleration commands, the roll angular velocity should be kept near zero. In usual autopilot design, effects of channels on each others is ignored. But three channels of agile flight vehicles have some mutual effects, that consists of kinematic, inertial and aerodynamic couplings. In the case of roll channel dynamics, aerodynamic couplings are dominant and apears because of two factors: roll induced moment and roll cross coupling moment.
After study and aerodynamic modeling of mentioned factors, based...

PID Auto-Tuning and Flight Trimming for the Quadcopters by Deep Reinforcement Learning and Digital Twin Technology

, M.Sc. Thesis Sharif University of Technology Taheri, Sara (Author) ; Rezaeizadeh, Amin (Supervisor)

Abstract

In recent years with the development of industrial automation, artificial intelligence, and the coming of the fourth-generation industrial revolution, making robots intelligent and solving old challenges in non-linear systems in order to make human life easier has always been the point of view of researchers. Flight systems are always considered to be one of the most nonlinear systems. In linear systems, a PID controller can be easily designed and implemented; But in non-linear systems, because the set point is constantly changing, the PID gain must be manually adjusted by the operator, which is almost impossible in practice; Therefore, finding a fast and efficient way to solve this...

Learning Algorithms in Trajectory Tracking to be Applied to Fixed-Wing UAVs

, M.Sc. Thesis Sharif University of Technology Nikanjam, Mohammad (Author) ; Banazadeh, Afshin (Supervisor)

Abstract

The aim of this study is to develop a new algorithm to perform high performance and precise maneuvers for variety of fixed-wing UAVs. Iterative learning in conjunction with an adaptive control technique is developed here for this purpose. In this research, the guidance and control laws are initially developed by classic algorithms that exist in most of commercial autopilot systems. Then, the learning algorithm is combined with the classic autopilot system to improve trajectory tracking performance. The algorithms have been tested by simulation in the loop technique, utilizing Simulink and X-Plane software. So, the navigation data was provided by the X-Plane, solving dynamic equations, and...

Design and Implementation of a Voltage Controlled Oscillator For 77GHz Automotive Radar

, M.Sc. Thesis Sharif University of Technology Kiavar, Amir Arsalan (Author) ; Medi, Ali (Supervisor)

Abstract

Wideband mm-wave radars are gaining popularity in automotive applications due to their superiority in harsh weather conditions, high distance resolution, precise velocity measurement, and superior spatial resolution. The primary purpose of this thesis is to design and implement a voltage-controlled oscillator for 77GHz automotive radar applications.Phase noise -as one of the most crucial specifications in VCO design- Phase noise improvement techniques as well as harmonic engineering methods are delineated. Also, an Ocean-based code for ISF simulation is introduced and developed to obviate the need for additional signal processing software so that simulation speed increases...