def main():
measurement = np.zeros((2,1)) # Measurement vector
state = np.zeros((2,1)) # Initial state vector [x,y,vx,vy]
pose = Pose2D()
kalman = Kalman()
navdata = navdata_info()
rospy.init_node('filtered_tag_data')
pub_kalman = rospy.Publisher('/kalman', Pose2D, queue_size=100)
rate = rospy.Rate(200) # 200Hz
while not rospy.is_shutdown():
# measurement[0, 0] = navdata.norm_tag_x
# measurement[1, 0] = navdata.norm_tag_y
# measurement[2, 0] = navdata.tag_vx
# measurement[3, 0] = navdata.tag_vy
measurement[0, 0] = navdata.tag_x
measurement[1, 0] = navdata.tag_y
kalman.state_callback()
kalman.measurement_callback(measurement)
state = kalman.x
pose.x = state[0, 0]
pose.y = state[1, 0]
pub_kalman.publish(pose)
rate.sleep()
def main():
measurement = np.zeros((2, 1)) # Measurement vector
state = np.zeros((2, 1)) # Initial state vector [x,y,vx,vy]
pose = Pose2D()
kalman = Kalman()
navdata = navdata_info()
rospy.init_node('filtered_tag_data')
pub_kalman = rospy.Publisher('/kalman', Pose2D, queue_size=100)
rate = rospy.Rate(200) # 200Hz
while not rospy.is_shutdown():
# measurement[0, 0] = navdata.norm_tag_x
# measurement[1, 0] = navdata.norm_tag_y
# measurement[2, 0] = navdata.tag_vx
# measurement[3, 0] = navdata.tag_vy
measurement[0, 0] = navdata.tag_x
measurement[1, 0] = navdata.tag_y
kalman.state_callback()
kalman.measurement_callback(measurement)
state = kalman.x
pose.x = state[0, 0]
pose.y = state[1, 0]
pub_kalman.publish(pose)
rate.sleep()
def main():
measurement = np.zeros((2,1)) # Measurement vector
state = np.zeros((2,1)) # Initial state vector [x,y,vx,vy]
pose = Pose2D()
kalman = Kalman()
navdata = navdata_info()
# conversions
x_conversion = 0.64
y_conversion = 0.36
rospy.init_node('filtered_tag_data')
pub_kalman = rospy.Publisher('/filtered_tag_pose', Pose2D, queue_size=100)
rate = rospy.Rate(200) # 200Hz
while not rospy.is_shutdown():
measurement[0, 0] = navdata.tag_x * x_conversion
measurement[1, 0] = navdata.tag_y * y_conversion
kalman.state_callback()
kalman.measurement_callback(measurement)
state = kalman.x
pose.x = state[0, 0]
pose.y = state[1, 0]
pub_kalman.publish(pose)
rate.sleep()
tag_theta_workbook_sheet.write('B1', vertical + 'Theta')
tag_x_workbook_sheet.write('C1', 'Altitude')
tag_x_workbook_sheet.write('D1', 'Roll')
tag_x_workbook_sheet.write('E1', 'Pitch')
tag_y_workbook_sheet.write('C1', 'Altitude')
tag_y_workbook_sheet.write('D1', 'Roll')
tag_y_workbook_sheet.write('E1', 'Pitch')
# ROS initializations
rospy.init_node('test_data_saver')
rate = rospy.Rate(100)
# So we can get the data from the bag
nd = navdata_info()
# To keep track of what row we're in (start in row 2)
i = 2
start_time = 0
current_time = 0
time_set = False
while not rospy.is_shutdown():
# Division by 1,000,000 to convert from microseconds to seconds
current_time = nd.navdata.tm/1000000
# so that the time that's saved starts at 0 and not the QC's system time
# if you have issues, you can remove this without issue
if (not time_set and (current_time > 0)):
def main():
rospy.init_node('follow_mode_test')
rate = rospy.Rate(200) # 200Hz
pub_ctrl = rospy.Publisher('cmd_vel', Twist, queue_size=100)
qc = Twist()
navdata = navdata_info()
ctrl = Controller()
########################
# Set the bounding box #
########################
# X is in front and behind QC [0, 360] pixels
# Y is left and right of QC [0, 640] pixels
# For pixels
bbx_max = 625
bbx_min = 375
bby_max = 625
bby_min = 375
# For normalized distances
# bbx_max = -1.0
# bbx_min = 1.0
# bby_max = -1.0
# bby_min = 1.0
yaw_max = 350
yaw_min = 10
####################################
# Setup the individual controllers #
####################################
# Note: in order to change the values for integrator max and min, you need
# to go into Controller.py and adjust the values there
# Set yaw controller
# NOTE: this doesn't seem to be working correctly...
ctrl.pid_theta.setKp(1/260.0)
# ctrl.pid_theta.setKp(0.0)
ctrl.pid_theta.setKi(0.0)
ctrl.pid_theta.setKd(0.0)
ctrl.pid_theta.setPoint(180.0)
default = 10
# ctrl.pid_theta.setIntegrator(100)
# ctrl.pid_theta.setDerivator(100)
# Set the x (forward/backward) controller
# ctrl.pid_x.setKp(5)
ctrl.pid_x.setKp(0.01)
ctrl.pid_x.setKi(0.005)
ctrl.pid_x.setKd(0.03)
# ctrl.pid_x.setKd(0.0)
ctrl.pid_x.setPoint(500.0)
# ctrl.pid_x.setPoint(0.0)
#ctrl.pid_x.setIntegrator(5000.0)
#ctrl.pid_x.setDerivator(5000.0)
# Set the y (left/right) controller
# ctrl.pid_y.setKp(5)
ctrl.pid_y.setKp(0.3)
ctrl.pid_y.setKi(0.005)
ctrl.pid_y.setKd(0.1)
ctrl.pid_y.setPoint(500.0)
# ctrl.pid_y.setPoint(0.0)
# ctrl.pid_y.setIntegrator(5000)
# ctrl.pid_y.setDerivator(5000)
# Set the z (altitude) controller
ctrl.pid_z.setKp(0.0)
ctrl.pid_z.setKi(0.0)
ctrl.pid_z.setKd(0.0)
ctrl.pid_z.setPoint(0.0)
# ctrl.pid_z.setIntegrator(500)
# ctrl.pid_z.setDerivator(500)
# Disable hover mode
qc.angular.x = 0.5
qc.angular.y = 0.5
# controller update values
yaw_update = 0
x_update = 0
y_update = 0
z_update = 0
# i = 0
while not rospy.is_shutdown():
# always update the altitude
z_update = ctrl.pid_z.update(z_update)
# print("Theta %.2f" % navdata.theta)
# print("(%d, %d)" % (navdata.tag_x, navdata.tag_y))
if navdata.tag_acquired:
# print("Tag acquired %d" % i)
# i += 1
# If 10 < theta < 350 then let's rotate
if ((yaw_min < navdata.theta) and (navdata.theta < yaw_max)):
# We need to make sure that we have an offset so that the QC
# rotates correctly
# if((180 < navdata.theta) and (navdata.theta < yaw_max)):
# navdata.theta -= 360
yaw_update = ctrl.pid_theta.update(navdata.theta)
else:
yaw_update = 0
# is_in_box(minimum, maximum, position)
# if (is_in_box(bbx_min, bbx_max, navdata.tag_y) and is_in_box(bby_min, bby_max, navdata.tag_x)):
# kalman filter testing
if (is_in_box(bbx_min, bbx_max, pose.y) and is_in_box(bby_min, bby_max, pose.x)):
x_update = 0
y_update = 0
qc.angular.x = 0.0
qc.angular.y = 0.0
# print("In the Box")
# It's not in the bounding box therefore we should update the PIDs
# and disable Hover mode
else:
# x_update = navdata.tag_norm_x
# y_update = navdata.tag_norm_y
# x_update = ctrl.pid_x.update(x_update)
# y_update = ctrl.pid_y.update(y_update)
# x_update = ctrl.pid_x.update(navdata.tag_x) / 15
# y_update = ctrl.pid_y.update(navdata.tag_y) / 15
x_update = ctrl.pid_x.update(pose.x) / 15
y_update = ctrl.pid_y.update(pose.y) / 15
qc.angular.x = 0.5
qc.angular.y = 0.5
# print("%.3f" % ctrl.pid_x.getError())
# Make sure that we're not making any drastic updates
# qc.angular.z = ctrl.pid_theta.avoid_drastic_corrections(yaw_update)
# qc.linear.x = ctrl.pid_x.avoid_drastic_corrections(x_update)
# qc.linear.y = ctrl.pid_y.avoid_drastic_corrections(y_update)
# qc.linear.z = ctrl.pid_z.avoid_drastic_corrections(z_update)
qc.angular.z = yaw_update
qc.linear.x = x_update
qc.linear.y = y_update
# qc.linear.z = z_update
pub_ctrl.publish(qc)
rate.sleep()
tag_y_workbook_sheet.write('D1', 'Roll')
tag_y_workbook_sheet.write('E1', 'Pitch')
#Battery
tag_x_workbook_sheet.write('F1', 'Battery')
#Magnetometer
tag_x_workbook_sheet.write('G1', 'magX')
tag_x_workbook_sheet.write('H1', 'magY')
# ROS initializations
rospy.init_node('test_data_saver')
rate = rospy.Rate(100)
# So we can get the data from the bag
nd = navdata_info()
# To keep track of what row we're in (start in row 2)
i = 2
start_time = 0
current_time = 0
time_set = False
while not rospy.is_shutdown():
# Division by 1,000,000 to convert from microseconds to seconds
current_time = nd.navdata.tm / 1000000
# so that the time that's saved starts at 0 and not the QC's system time
# if you have issues, you can remove this without issue
if (not time_set and (current_time > 0)):
