Paparazzi UAS
v5.18.0_stable
Paparazzi is a free software Unmanned Aircraft System.
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This module implements optical flow landings in which the divergence is kept constant. When using a fixed gain for control, the covariance between thrust and divergence is tracked, so that the drone knows when it has arrived close to the landing surface. Then, a final landing procedure is triggered. It can also be set to adaptive gain control, where the goal is to continuously gauge the distance to the landing surface. In this mode, the drone will oscillate all the way down to the surface. More...
#include "std.h"
Go to the source code of this file.
Data Structures | |
struct | OpticalFlowLanding |
Macros | |
#define | GUIDANCE_H_MODE_MODULE_SETTING GUIDANCE_H_MODE_NAV |
#define | GUIDANCE_V_MODE_MODULE_SETTING GUIDANCE_V_MODE_MODULE |
Functions | |
void | guidance_v_module_init (void) |
void | guidance_v_module_enter (void) |
Entering the vertical module (user switched to module) More... | |
void | guidance_v_module_run (bool in_flight) |
Variables | |
struct OpticalFlowLanding | of_landing_ctrl |
This module implements optical flow landings in which the divergence is kept constant. When using a fixed gain for control, the covariance between thrust and divergence is tracked, so that the drone knows when it has arrived close to the landing surface. Then, a final landing procedure is triggered. It can also be set to adaptive gain control, where the goal is to continuously gauge the distance to the landing surface. In this mode, the drone will oscillate all the way down to the surface.
de Croon, G.C.H.E. (2016). Monocular distance estimation with optical flow maneuvers and efference copies: a stability-based strategy. Bioinspiration & biomimetics, 11(1), 016004. http://iopscience.iop.org/article/10.1088/1748-3190/11/1/016004
Based on the above theory, we have also developed a new strategy for landing that consists of two phases: (1) while hovering, the drone determines the optimal gain by increasing the gain until oscillation (2) the drone starts landing while exponentially decreasing the gain over time
This strategy leads to smooth, high-performance constant divergence landings, as explained in the article: H.W. Ho, G.C.H.E. de Croon, E. van Kampen, Q.P. Chu, and M. Mulder (submitted) Adaptive Control Strategy for Constant Optical Flow Divergence Landing, https://arxiv.org/abs/1609.06767
Definition in file optical_flow_landing.h.
struct OpticalFlowLanding |
Definition at line 49 of file optical_flow_landing.h.
Data Fields | ||
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float | agl | agl = height from sonar (only used when using "fake" divergence) |
float | agl_lp | low-pass version of agl |
uint32_t | CONTROL_METHOD | type of divergence control: 0 = fixed gain, 1 = adaptive gain |
float | cov_limit | for fixed gain control, what is the cov limit triggering the landing |
uint32_t | COV_METHOD | method to calculate the covariance: between thrust and div (0) or div and div past (1) |
float | cov_set_point | for adaptive gain control, setpoint of the covariance (oscillations) |
float | d_err | difference of error for the D-gain |
uint32_t | delay_steps | number of delay steps for div past |
float | dgain | D-gain for constant divergence control. |
float | dgain_adaptive | D-gain for adaptive gain control. |
float | divergence | Divergence estimate. |
float | divergence_setpoint | setpoint for constant divergence approach |
bool | elc_oscillate | Whether or not to oscillate at beginning of elc to find optimum gain. |
float | igain | I-gain for constant divergence control. |
float | igain_adaptive | I-gain for adaptive gain control. |
float | lp_const | low-pass filter constant |
float | lp_cov_div_factor | low-pass factor for the covariance of divergence in order to trigger the second landing phase in the exponential strategy. |
float | nominal_thrust | nominal thrust around which the PID-control operates |
float | p_land_threshold | if during the exponential landing the gain reaches this value, the final landing procedure is triggered |
float | pgain | P-gain for constant divergence control (from divergence error to thrust) |
float | pgain_adaptive | P-gain for adaptive gain control. |
float | previous_err | Previous divergence tracking error. |
float | reduction_factor_elc | reduction factor - after oscillation, how much to reduce the gain... |
float | sum_err | integration of the error for I-gain |
float | t_transition | how many seconds the drone has to be oscillating in order to transition to the hover phase with reduced gain |
float | vel | vertical velocity as determined with sonar (only used when using "fake" divergence) |
uint32_t | VISION_METHOD | whether to use vision (1) or Optitrack / sonar (0) |
uint32_t | window_size | number of time steps in "window" used for getting the covariance |
#define GUIDANCE_H_MODE_MODULE_SETTING GUIDANCE_H_MODE_NAV |
Definition at line 84 of file optical_flow_landing.h.
#define GUIDANCE_V_MODE_MODULE_SETTING GUIDANCE_V_MODE_MODULE |
Definition at line 87 of file optical_flow_landing.h.
void guidance_v_module_enter | ( | void | ) |
Entering the vertical module (user switched to module)
Entering the vertical module (user switched to module)
Definition at line 111 of file ctrl_module_innerloop_demo.c.
void guidance_v_module_init | ( | void | ) |
Definition at line 105 of file ctrl_module_innerloop_demo.c.
void guidance_v_module_run | ( | bool | in_flight | ) |
Definition at line 656 of file optical_flow_hover.c.
struct OpticalFlowLanding of_landing_ctrl |
Definition at line 157 of file optical_flow_landing.c.
Referenced by final_landing_procedure(), guidance_v_module_enter(), PID_divergence_control(), reset_all_vars(), send_divergence(), set_cov_div(), update_errors(), vertical_ctrl_agl_cb(), vertical_ctrl_module_init(), and vertical_ctrl_module_run().