Enhancing Kinematic Parameter Estimation of Rockets through Sensor Fusion and Networked Measurement Systems

The project determines the limitation boundaries of single sensor measurements by assessing the accuracy of a rocket’s kinematic parameters—such as speed, turn rate, and acceleration—based on the precision of individual sensor measurements. This involves evaluating whether these parameters can be accurately measured or estimated using each available sensor while considering the rocket’s dynamic behavior. Additionally, the project will quantify both the instantaneous and cumulative measurement/estimation errors of these kinematic parameters for subsequent comparison and analysis. Building on this, the project will employ sensor networks to enhance measurement capabilities. After identifying the limitations of each sensor and the associated estimation algorithms, we will develop and implement sensor fusion techniques, potentially incorporating distributed estimation algorithms. The primary objective is to achieve superior measurement and estimation performance over the individual sensors’ algorithms, leveraging the collective capabilities of the sensor network. Furthermore, we will investigate the robustness of the control algorithms to the inherent uncertainties in both single sensors and sensor networks and quantify the impact of estimation errors in the control performance.

Faculty Supervisor:

Mohammad Pirani

Student:

Partner:

Airshare

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Ottawa

Program: