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"previous_distance": 1.44, + "distance": 1.48 + } +] diff --git a/ALt-Trajectories/deltascalc.py b/ALt-Trajectories/deltascalc.py new file mode 100644 index 0000000..cb2fb36 --- /dev/null +++ b/ALt-Trajectories/deltascalc.py @@ -0,0 +1,86 @@ +import json +import math +import os +from pathlib import Path + + +def calc_deltas(trajectories): + sorted_trajectories = sorted( + trajectories, key=lambda x: (x["velocity"], x["distance"]) + ) + deltas = [] + prev_theta = 0 + prev_x = 0 + prev_vel = 0 + for val in sorted_trajectories: + if prev_vel == val["velocity"] and not math.isclose( + prev_x + 0.01, val["distance"], rel_tol=0.02 + ): + delta_distance = val["distance"] - prev_x + delta_theta = val["theta"] - prev_theta + delta = { + "delta_distance": delta_distance, + "delta_theta": delta_theta, + "proportion": delta_distance / delta_theta, + "veocity": val["velocity"], + "current_theta": val["theta"], + "previous_distance": prev_x, + "distance": val["distance"], + } + deltas.append(delta) + + prev_vel = val["velocity"] + prev_theta = val["theta"] + prev_x = val["distance"] + + return deltas + + +def gap_fill(trajectories): + sorted_trajectories = sorted( + trajectories, key=lambda x: (x["velocity"], x["distance"]) + ) + result = [] + prev_theta = 0 + prev_x = 0 + prev_vel = 0 + for val in sorted_trajectories: + if prev_vel == val["velocity"] and not math.isclose( + prev_x + 0.01, val["distance"], rel_tol=0.02 + ): + delta_distance = val["distance"] - prev_x + delta_theta = val["theta"] - prev_theta + proportion = delta_theta / delta_distance + for step_distance_cm in range( + int(prev_x * 100) + 1, int(val["distance"] * 100), 1 + ): + step_distance = float(step_distance_cm) / 100.0 + delta_distance = step_distance - prev_x + delta_theta = proportion * delta_distance + step_val = {} + step_val["distance"] = step_distance + step_val["theta"] = round(prev_theta + delta_theta, 1) + step_val["velocity"] = val["velocity"] + result.append(step_val) + + result.append(val) + prev_vel = val["velocity"] + prev_theta = val["theta"] + prev_x = val["distance"] + + return result + + +directory = Path(__file__).parent +with open(os.path.join(directory, "trajectories.json"), "r") as t: + trajectories = json.load(t) + +deltas = calc_deltas(trajectories) + +with open(os.path.join(directory, "deltas.json"), "w") as file: + file.write(json.dumps(deltas, indent=2)) + +filled_gaps = gap_fill(trajectories) + +with open(os.path.join(directory, "gap_filled.json"), "w") as file: + file.write(json.dumps(filled_gaps, indent=2)) diff --git a/ALt-Trajectories/gap_filled.json b/ALt-Trajectories/gap_filled.json new file mode 100644 index 0000000..fe095e9 --- /dev/null +++ b/ALt-Trajectories/gap_filled.json @@ -0,0 +1,114317 @@ +[ + { + "distance": 0.01, + "theta": 89.9, + "velocity": 6.0 + }, + { + "distance": 0.02, + "theta": 89.8, + "velocity": 6.0 + }, + { + "distance": 0.03, + "theta": 89.7, + "velocity": 6.0 + }, + { + "distance": 0.04, + "theta": 89.6, + "velocity": 6.0 + 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a/ALt-Trajectories/trajectorycalc.py b/ALt-Trajectories/trajectorycalc.py index aacc8ea..6be7f71 100644 --- a/ALt-Trajectories/trajectorycalc.py +++ b/ALt-Trajectories/trajectorycalc.py @@ -16,7 +16,7 @@ x_goal = 6.12 # m the max distance is 6.12m Cd = 0.47 # drag coeff sphere in 10^4 - 10^5 reynolds num g = -9.81 # m/s^2 -dt = 0.01 +dt = 0.001 def calc_distances() -> list[tuple[float, float, float]]: @@ -27,25 +27,15 @@ def calc_distances() -> list[tuple[float, float, float]]: theta_i = math.radians(ten_theta / 10.0) theta = theta_i target_z = zf - zi - has_hit_z_twice = False z = 0 x = 0 t = 0 v = vi v_x = math.cos(theta) * vi v_z = math.sin(theta) * vi - prev_hit_z = False - hit = False - missed = False - - while not hit and not missed: - - if z>target_z: - prev_hit_z = True - - if prev_hit_z and z 0 or z > target_z: effect_of_drag = (-Cd * rho * x_Area * v**2) / (2 * m) accel_x = effect_of_drag * math.cos(theta) accel_z = effect_of_drag * math.sin(theta) + g @@ -59,14 +49,11 @@ def calc_distances() -> list[tuple[float, float, float]]: v = math.sqrt(v_x**2 + v_z**2) theta = math.atan(v_z / v_x) - if z < 0: # exit condition if the ball never goes about z_target - missed = True - - if hit: - result.append((x, math.degrees(theta_i), vi)) - + if math.isclose(z, target_z, rel_tol=0.05): + result.append((x, math.degrees(theta_i), vi)) + result = sorted(result, key=lambda x: (x[2], x[0])) return result @@ -89,6 +76,7 @@ def create_distance_map(): directory = Path(__file__).parent +trajectories = create_distance_map() with open(os.path.join(directory, "trajectories.json"), "w") as file: - file.write(json.dumps(create_distance_map(), indent=2)) + file.write(json.dumps(trajectories, indent=2))