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James Kuszmaul851b3962022-02-27 16:42:15 -08001#include "frc971/control_loops/aiming/aiming.h"
2
3#include "glog/logging.h"
Philipp Schrader790cb542023-07-05 21:06:52 -07004
James Kuszmaul2a59cf02022-03-17 11:02:02 -07005#include "frc971/zeroing/wrap.h"
James Kuszmaul851b3962022-02-27 16:42:15 -08006
7namespace frc971::control_loops::aiming {
8
9// Shooting-on-the-fly concept:
10// The current way that we manage shooting-on-the fly endeavors to be reasonably
11// simple, until we get a chance to see how the actual dynamics play out.
12// Essentially, we assume that the robot's velocity will represent a constant
13// offset to the ball's velocity over the entire trajectory to the goal and
14// then offset the target that we are pointing at based on that.
15// Let us assume that, if the robot shoots while not moving, regardless of shot
16// distance, the ball's average speed-over-ground to the target will be a
17// constant s_shot (this implies that if the robot is driving straight towards
18// the target, the actual ball speed-over-ground will be greater than s_shot).
19// We will define things in the robot's coordinate frame. We will be shooting
20// at a target that is at position (target_x, target_y) in the robot frame. The
21// robot is travelling at (v_robot_x, v_robot_y). In order to shoot the ball,
22// we need to generate some virtual target (virtual_x, virtual_y) that we will
23// shoot at as if we were standing still. The total time-of-flight to that
24// target will be t_shot = norm2(virtual_x, virtual_y) / s_shot.
25// we will have virtual_x + v_robot_x * t_shot = target_x, and the same
26// for y. This gives us three equations and three unknowns (virtual_x,
27// virtual_y, and t_shot), and given appropriate assumptions, can be solved
28// analytically. However, doing so is obnoxious and given appropriate functions
29// for t_shot may not be feasible. As such, instead of actually solving the
30// equation analytically, we will use an iterative solution where we maintain
31// a current virtual target estimate. We start with this estimate as if the
32// robot is stationary. We then use this estimate to calculate t_shot, and
33// calculate the next value for the virtual target.
34
35namespace {
36// This implements the iteration in the described shooting-on-the-fly algorithm.
37// robot_pose: Current robot pose.
38// robot_velocity: Current robot velocity, in the absolute field frame.
39// target_pose: Absolute goal Pose.
40// current_virtual_pose: Current estimate of where we want to shoot at.
41// ball_speed_over_ground: Approximate ground speed of the ball that we are
42// shooting.
43Pose IterateVirtualGoal(const Pose &robot_pose,
44 const Eigen::Vector3d &robot_velocity,
45 const Pose &target_pose,
46 const Pose &current_virtual_pose,
47 double ball_speed_over_ground) {
48 const double air_time = current_virtual_pose.Rebase(&robot_pose).xy_norm() /
49 ball_speed_over_ground;
50 const Eigen::Vector3d virtual_target =
51 target_pose.abs_pos() - air_time * robot_velocity;
52 return Pose(virtual_target, target_pose.abs_theta());
53}
54} // namespace
55
56TurretGoal AimerGoal(const ShotConfig &config, const RobotState &state) {
57 TurretGoal result;
58 // This code manages compensating the goal turret heading for the robot's
59 // current velocity, to allow for shooting on-the-fly.
60 // This works by solving for the correct turret angle numerically, since while
61 // we technically could do it analytically, doing so would both make it hard
62 // to make small changes (since it would force us to redo the math) and be
63 // error-prone since it'd be easy to make typos or other minor math errors.
64 Pose virtual_goal;
65 {
66 result.target_distance = config.goal.Rebase(&state.pose).xy_norm();
67 virtual_goal = config.goal;
68 if (config.mode == ShotMode::kShootOnTheFly) {
69 for (int ii = 0; ii < 3; ++ii) {
70 virtual_goal = IterateVirtualGoal(
71 state.pose, {state.velocity(0), state.velocity(1), 0}, config.goal,
72 virtual_goal, config.ball_speed_over_ground);
73 }
74 VLOG(1) << "Shooting-on-the-fly target position: "
75 << virtual_goal.abs_pos().transpose();
76 }
77 virtual_goal = virtual_goal.Rebase(&state.pose);
78 }
79
80 const double heading_to_goal = virtual_goal.heading();
81 result.virtual_shot_distance = virtual_goal.xy_norm();
82
83 // The following code all works to calculate what the rate of turn of the
84 // turret should be. The code only accounts for the rate of turn if we are
85 // aiming at a static target, which should be close enough to correct that it
86 // doesn't matter that it fails to account for the
87 // shooting-on-the-fly compensation.
88 const double rel_x = virtual_goal.rel_pos().x();
89 const double rel_y = virtual_goal.rel_pos().y();
90 const double squared_norm = rel_x * rel_x + rel_y * rel_y;
91 // rel_xdot and rel_ydot are the derivatives (with respect to time) of rel_x
92 // and rel_y. Since these are in the robot's coordinate frame, and since we
93 // are ignoring lateral velocity for this exercise, rel_ydot is zero, and
94 // rel_xdot is just the inverse of the robot's velocity.
95 // Note that rel_x and rel_y are in the robot frame.
96 const double rel_xdot = -Eigen::Vector2d(std::cos(state.pose.rel_theta()),
97 std::sin(state.pose.rel_theta()))
98 .dot(state.velocity);
99 const double rel_ydot = 0.0;
100
101 // If squared_norm gets to be too close to zero, just zero out the relevant
102 // term to prevent NaNs. Note that this doesn't address the chattering that
103 // would likely occur if we were to get excessively close to the target.
104 // Note that x and y terms are swapped relative to what you would normally see
105 // in the derivative of atan because xdot and ydot are the derivatives of
106 // robot_pos and we are working with the atan of (target_pos - robot_pos).
107 const double atan_diff =
Philipp Schrader790cb542023-07-05 21:06:52 -0700108 (squared_norm < 1e-3)
109 ? 0.0
110 : (rel_x * rel_ydot - rel_y * rel_xdot) / squared_norm;
James Kuszmaul851b3962022-02-27 16:42:15 -0800111 // heading = atan2(relative_y, relative_x) - robot_theta
112 // dheading / dt =
113 // (rel_x * rel_y' - rel_y * rel_x') / (rel_x^2 + rel_y^2) - dtheta / dt
114 const double dheading_dt = atan_diff - state.yaw_rate;
115
James Kuszmaul851b3962022-02-27 16:42:15 -0800116 // Calculate a goal turret heading such that it is within +/- pi of the
117 // current position (i.e., a goal that would minimize the amount the turret
118 // would have to travel).
119 // We then check if this goal would bring us out of range of the valid angles,
120 // and if it would, we reset to be within +/- pi of zero.
121 double turret_heading =
122 state.last_turret_goal +
123 aos::math::NormalizeAngle(heading_to_goal - config.turret_zero_offset -
124 state.last_turret_goal);
James Kuszmaul2a59cf02022-03-17 11:02:02 -0700125 if (turret_heading > config.turret_range.upper - config.anti_wrap_buffer ||
126 turret_heading < config.turret_range.lower + config.anti_wrap_buffer) {
127 turret_heading = frc971::zeroing::Wrap(config.turret_range.middle_soft(),
128 turret_heading, 2.0 * M_PI);
James Kuszmaul851b3962022-02-27 16:42:15 -0800129 }
130 result.position = turret_heading;
131 result.velocity = dheading_dt;
132 return result;
133}
134
135} // namespace frc971::control_loops::aiming