Source code for RCAIDE.Library.Plots.Stability.plot_lateral_stability

# RCAIDE/Library/Plots/Performance/Stability/plot_lateral_stability.py
# 
# 
# Created:  Jul 2023, M. Clarke 

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#  IMPORT
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from RCAIDE.Framework.Core import Units
from RCAIDE.Library.Plots.Common import set_axes, plot_style
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np  

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#  PLOTS
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[docs] def plot_lateral_stability(results, save_figure = False, show_legend = True, save_filename = "Lateral_Stability", file_type = ".png", width = 11, height = 7): """ Creates a multi-panel visualization of lateral-directional stability characteristics. Parameters ---------- results : Results RCAIDE results data structure containing: - segments[i].conditions.frames.inertial.time[:,0] Time history for each segment - segments[i].conditions.aerodynamics.angles.phi[:,0] Bank angle history - segments[i].conditions.control_surfaces.aileron.deflection[:,0] Aileron deflection history - segments[i].conditions.control_surfaces.rudder.deflection[:,0] Rudder deflection history - segments[i].tag Name/identifier of each segment save_figure : bool, optional Flag for saving the figure (default: False) show_legend : bool, optional Flag to display segment legend (default: True) save_filename : str, optional Name of file for saved figure (default: "Lateral_Stability") file_type : str, optional File extension for saved figure (default: ".png") width : float, optional Figure width in inches (default: 11) height : float, optional Figure height in inches (default: 7) Returns ------- fig : matplotlib.figure.Figure Handle to the generated figure containing three subplots: * Bank angle vs time * Aileron deflection vs time * Rudder deflection vs time Notes ----- Creates visualization showing: * Roll attitude response * Lateral control inputs * Directional control inputs * Time history for each segment **Major Assumptions** * Angles are in degrees * Time is in minutes * Positive deflections follow right-hand rule **Definitions** 'Bank Angle' Roll attitude relative to horizon 'Aileron Deflection' Roll control surface position 'Rudder Deflection' Yaw control surface position See Also -------- RCAIDE.Library.Plots.Stability.plot_longitudinal_stability : Longitudinal stability analysis RCAIDE.Library.Plots.Stability.plot_flight_forces_and_moments : Force/moment visualization """ # get plotting style ps = plot_style() parameters = {'axes.labelsize': ps.axis_font_size, 'xtick.labelsize': ps.axis_font_size, 'ytick.labelsize': ps.axis_font_size, 'axes.titlesize': ps.title_font_size} plt.rcParams.update(parameters) # get line colors for plots line_colors = cm.inferno(np.linspace(0,0.9,len(results.segments))) fig = plt.figure(save_filename) fig.set_size_inches(width,height) axis_1 = plt.subplot(2,2,1) axis_2 = plt.subplot(2,2,2) axis_3 = plt.subplot(2,2,3) for i in range(len(results.segments)): time = results.segments[i].conditions.frames.inertial.time[:,0] / Units.min phi = results.segments[i].conditions.aerodynamics.angles.phi[:,0] / Units.deg delta_a = results.segments[i].conditions.control_surfaces.aileron.deflection[:,0] / Units.deg delta_r = results.segments[i].conditions.control_surfaces.rudder.deflection[:,0] / Units.deg segment_tag = results.segments[i].tag segment_name = segment_tag.replace('_', ' ') axis_1.plot(time, phi, color = line_colors[i], marker = ps.markers[0], linewidth = ps.line_width, label = segment_name) axis_1.set_ylabel(r'$Bank Angle \phi$') set_axes(axis_1) axis_2.plot(time,delta_a , color = line_colors[i], marker = ps.markers[0], linewidth = ps.line_width) axis_2.set_xlabel('Time (mins)') axis_2.set_ylabel(r'Aileron Defl. (deg)') set_axes(axis_2) axis_3.plot(time,delta_r , color = line_colors[i], marker = ps.markers[0], linewidth = ps.line_width) axis_3.set_xlabel('Time (mins)') axis_3.set_ylabel(r'Rudder Defl. (deg)') set_axes(axis_3) if show_legend: leg = fig.legend(bbox_to_anchor=(0.5, 0.95), loc='upper center', ncol = 4) leg.set_title('Flight Segment', prop={'size': ps.legend_font_size, 'weight': 'heavy'}) # Adjusting the sub-plots for legend fig.tight_layout() fig.subplots_adjust(top=0.8) # set title of plot title_text = 'Stability Coeffiicents' fig.suptitle(title_text) if save_figure: plt.savefig(save_filename + file_type) return fig