Discussion Overview
The discussion revolves around the process of linearizing a system of equations related to the motion of a quad-copter, specifically focusing on the z-axis. Participants are exploring how to create a MATLAB model and arrange the equations in state space representation, addressing both theoretical and practical aspects of linearization.
Discussion Character
- Homework-related
- Technical explanation
- Exploratory
Main Points Raised
- One participant outlines the basic structure of the linearized equations for the quad-copter's motion, suggesting that there should be two equations for each state and proposing a method for linearization using partial derivatives.
- Another participant suggests using small angle approximations for sine and cosine functions related to tilt angles, indicating that this might simplify the linearization process.
- Some participants agree that the constant and linear terms of the power series for trigonometric functions could suffice for linearization, emphasizing the importance of evaluating these at the point of interest.
- There is a discussion about whether to linearize voltages in the system, with one participant stating that if voltages change in response to system dynamics, they should be linearized, while if they remain constant, their value at that point should be used.
- A follow-up question is raised regarding how to treat velocities during linearization, specifically in relation to the first derivative of the angle phi.
Areas of Agreement / Disagreement
Participants express various viewpoints on the use of small angle approximations and the treatment of voltages in the linearization process. There is no clear consensus on how to handle the velocities or the specifics of the linearization approach, indicating that multiple competing views remain.
Contextual Notes
Participants mention the need for careful evaluation of partial derivatives and the conditions under which voltages are treated as constant or variable. The discussion reflects uncertainty regarding the application of linearization techniques across different variables.