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Merge pull request #284 from limhyon/master
Nonlinear complementary SO(3) filter has been implemented.
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@@ -62,6 +62,7 @@ MODULES += modules/gpio_led
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# Estimation modules (EKF / other filters)
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#
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MODULES += modules/attitude_estimator_ekf
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MODULES += modules/attitude_estimator_so3_comp
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MODULES += modules/position_estimator_mc
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MODULES += modules/position_estimator
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MODULES += modules/att_pos_estimator_ekf
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@@ -0,0 +1,5 @@
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Synopsis
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nsh> attitude_estimator_so3_comp start -d /dev/ttyS1 -b 115200
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Option -d is for debugging packet. See code for detailed packet structure.
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+833
File diff suppressed because it is too large
Load Diff
+63
@@ -0,0 +1,63 @@
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/*
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* Author: Hyon Lim <limhyon@gmail.com, hyonlim@snu.ac.kr>
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*
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* @file attitude_estimator_so3_comp_params.c
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*
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* Implementation of nonlinear complementary filters on the SO(3).
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* This code performs attitude estimation by using accelerometer, gyroscopes and magnetometer.
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* Result is provided as quaternion, 1-2-3 Euler angle and rotation matrix.
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*
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* Theory of nonlinear complementary filters on the SO(3) is based on [1].
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* Quaternion realization of [1] is based on [2].
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* Optmized quaternion update code is based on Sebastian Madgwick's implementation.
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*
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* References
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* [1] Mahony, R.; Hamel, T.; Pflimlin, Jean-Michel, "Nonlinear Complementary Filters on the Special Orthogonal Group," Automatic Control, IEEE Transactions on , vol.53, no.5, pp.1203,1218, June 2008
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* [2] Euston, M.; Coote, P.; Mahony, R.; Jonghyuk Kim; Hamel, T., "A complementary filter for attitude estimation of a fixed-wing UAV," Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on , vol., no., pp.340,345, 22-26 Sept. 2008
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*/
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#include "attitude_estimator_so3_comp_params.h"
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/* This is filter gain for nonlinear SO3 complementary filter */
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/* NOTE : How to tune the gain? First of all, stick with this default gain. And let the quad in stable place.
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Log the steady state reponse of filter. If it is too slow, increase SO3_COMP_KP.
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If you are flying from ground to high altitude in short amount of time, please increase SO3_COMP_KI which
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will compensate gyro bias which depends on temperature and vibration of your vehicle */
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PARAM_DEFINE_FLOAT(SO3_COMP_KP, 1.0f); //! This parameter will give you about 15 seconds convergence time.
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//! You can set this gain higher if you want more fast response.
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//! But note that higher gain will give you also higher overshoot.
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PARAM_DEFINE_FLOAT(SO3_COMP_KI, 0.05f); //! This gain will incorporate slow time-varying bias (e.g., temperature change)
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//! This gain is depend on your vehicle status.
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/* offsets in roll, pitch and yaw of sensor plane and body */
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PARAM_DEFINE_FLOAT(ATT_ROLL_OFFS, 0.0f);
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PARAM_DEFINE_FLOAT(ATT_PITCH_OFFS, 0.0f);
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PARAM_DEFINE_FLOAT(ATT_YAW_OFFS, 0.0f);
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int parameters_init(struct attitude_estimator_so3_comp_param_handles *h)
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{
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/* Filter gain parameters */
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h->Kp = param_find("SO3_COMP_KP");
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h->Ki = param_find("SO3_COMP_KI");
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/* Attitude offset (WARNING: Do not change if you do not know what exactly this variable wil lchange) */
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h->roll_off = param_find("ATT_ROLL_OFFS");
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h->pitch_off = param_find("ATT_PITCH_OFFS");
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h->yaw_off = param_find("ATT_YAW_OFFS");
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return OK;
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}
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int parameters_update(const struct attitude_estimator_so3_comp_param_handles *h, struct attitude_estimator_so3_comp_params *p)
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{
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/* Update filter gain */
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param_get(h->Kp, &(p->Kp));
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param_get(h->Ki, &(p->Ki));
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/* Update attitude offset */
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param_get(h->roll_off, &(p->roll_off));
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param_get(h->pitch_off, &(p->pitch_off));
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param_get(h->yaw_off, &(p->yaw_off));
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return OK;
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}
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+44
@@ -0,0 +1,44 @@
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/*
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* Author: Hyon Lim <limhyon@gmail.com, hyonlim@snu.ac.kr>
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*
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* @file attitude_estimator_so3_comp_params.h
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*
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* Implementation of nonlinear complementary filters on the SO(3).
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* This code performs attitude estimation by using accelerometer, gyroscopes and magnetometer.
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* Result is provided as quaternion, 1-2-3 Euler angle and rotation matrix.
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*
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* Theory of nonlinear complementary filters on the SO(3) is based on [1].
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* Quaternion realization of [1] is based on [2].
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* Optmized quaternion update code is based on Sebastian Madgwick's implementation.
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*
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* References
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* [1] Mahony, R.; Hamel, T.; Pflimlin, Jean-Michel, "Nonlinear Complementary Filters on the Special Orthogonal Group," Automatic Control, IEEE Transactions on , vol.53, no.5, pp.1203,1218, June 2008
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* [2] Euston, M.; Coote, P.; Mahony, R.; Jonghyuk Kim; Hamel, T., "A complementary filter for attitude estimation of a fixed-wing UAV," Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on , vol., no., pp.340,345, 22-26 Sept. 2008
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*/
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#include <systemlib/param/param.h>
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struct attitude_estimator_so3_comp_params {
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float Kp;
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float Ki;
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float roll_off;
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float pitch_off;
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float yaw_off;
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};
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struct attitude_estimator_so3_comp_param_handles {
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param_t Kp, Ki;
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param_t roll_off, pitch_off, yaw_off;
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};
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/**
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* Initialize all parameter handles and values
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*
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*/
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int parameters_init(struct attitude_estimator_so3_comp_param_handles *h);
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/**
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* Update all parameters
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*
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*/
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int parameters_update(const struct attitude_estimator_so3_comp_param_handles *h, struct attitude_estimator_so3_comp_params *p);
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@@ -0,0 +1,8 @@
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#
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# Attitude estimator (Nonlinear SO3 complementary Filter)
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#
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MODULE_COMMAND = attitude_estimator_so3_comp
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SRCS = attitude_estimator_so3_comp_main.cpp \
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attitude_estimator_so3_comp_params.c
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