fixed formation and enhanced aggregation

This commit is contained in:
dave 2018-03-04 21:44:39 -05:00
parent cc767a5ac7
commit 21ee166028
4 changed files with 35 additions and 43 deletions

View File

@ -77,13 +77,12 @@ function goto_gps(transf) {
print(" has to move ", math.vec2.length(m_navigation), math.vec2.angle(m_navigation))
if(math.vec2.length(m_navigation)>GOTO_MAXDIST)
log("Sorry this is too far.")
else if(math.vec2.length(m_navigation)>GOTO_MAXVEL) { # limit velocity
m_navigation = math.vec2.scale(m_navigation, GOTO_MAXVEL/math.vec2.length(m_navigation))
goto_abs(m_navigation.x, m_navigation.y, rc_goto.altitude - pose.position.altitude, 0.0)
} else if(math.vec2.length(m_navigation) < GOTODIST_TOL and math.vec2.angle(m_navigation) < GOTOANG_TOL) # reached destination
else if(math.vec2.length(m_navigation) < GOTODIST_TOL and math.vec2.angle(m_navigation) < GOTOANG_TOL) # reached destination
transf()
else
else {
LimitSpeed(m_navigation, 1.0)
goto_abs(m_navigation.x, m_navigation.y, rc_goto.altitude - pose.position.altitude, 0.0)
}
}
function follow() {
@ -110,40 +109,34 @@ function aggregate() {
}, {.x=0, .y=0})
if(neighbors.count() > 0)
math.vec2.scale(centroid, 1.0 / neighbors.count())
if(math.vec2.length(centroid)>GOTO_MAXVEL)
centroid = math.vec2.scale(centroid, GOTO_MAXVEL/math.vec2.length(centroid))
goto_abs(centroid.x, centroid.y, 0.0, 0.0)
cmdbin = math.vec2.sub(centroid, math.vec2.newp(15.0, id * 2 * math.pi / ROBOTS))
cmdbin = LimitSpeed(cmdbin, 1.0/2.0)
goto_abs(cmdbin.x, cmdbin.y, 0.0, 0.0)
}
# follow one another
rotang = 0.0
function pursuit() {
BVMSTATE="PURSUIT"
insight = 0
leader = math.vec2.newp(0.0, 0.0)
var cmdbin = math.vec2.newp(0.0, 0.0)
neighbors.foreach(function(rid, data) {
if(data.distance < 11.0 and data.azimuth < 3.2 and data.azimuth > 2.8) {
insight = 1
leader = math.vec2.newp(data.distance, data.azimuth)
}
})
if(insight == 1) {
log("Leader in sight !")
#cmdbin = math.vec2.newp(lj_magnitude(math.vec2.length(leader), 3.0, 0.01), math.vec2.angle(leader))
cmdbin = math.vec2.newp(2.0, math.vec2.angle(leader))
} else {
rotang = rotang + math.pi/60
cmdbin = math.vec2.newp(2.0, rotang)
}
goto_abs(cmdbin.x, cmdbin.y, 0.0, rotang)
centroid = neighbors.reduce(function(rid, data, centroid) {
centroid = math.vec2.add(centroid, math.vec2.newp(data.distance, data.azimuth))
return centroid
}, {.x=0, .y=0})
if(neighbors.count() > 0)
math.vec2.scale(centroid, 1.0 / neighbors.count())
rotang = rotang + math.pi/50.0
cmdbin = math.vec2.sub(centroid, math.vec2.newp(80.0, id * 2 * math.pi / ROBOTS + rotang))
cmdbin = LimitSpeed(cmdbin, 1.0/5.0)
goto_abs(cmdbin.x, cmdbin.y, 0.0, 0.0)
}
# Lennard-Jones interaction magnitude
TARGET = 8.0
EPSILON = 0.000001
EPSILON = 3.0
function lj_magnitude(dist, target, epsilon) {
return -(epsilon / dist) * ((target / dist)^4 - (target / dist)^2)
lj = -(epsilon / dist) * ((target / dist)^4 - 1.2 * (target / dist)^2)
# log(dist, (target / dist), (epsilon / dist), lj)
return lj
}
# Neighbor data to LJ interaction vector
@ -157,15 +150,15 @@ function lj_sum(rid, data, accum) {
}
# Calculates and actuates the flocking interaction
old_lj = math.vec2.newp(0.0, 0.0) # 1-step filter, to smoothen dir. changes
function formation() {
BVMSTATE="FORMATION"
# Calculate accumulator
var accum = neighbors.map(lj_vector).reduce(lj_sum, math.vec2.new(0.0, 0.0))
accum_lj = neighbors.map(lj_vector).reduce(lj_sum, math.vec2.new(0.0, 0.0))
if(neighbors.count() > 0)
math.vec2.scale(accum, 1.0 / neighbors.count())
if(math.vec2.length(accum)>GOTO_MAXVEL*10)
accum = math.vec2.scale(accum, 10*GOTO_MAXVEL/math.vec2.length(accum))
goto_abs(accum.x, accum.y, 0.0, 0.0)
math.vec2.scale(accum_lj, 1.0 / neighbors.count())
old_lj = LimitSpeed(math.vec2.add(old_lj, accum_lj), 1.0/4.0)
goto_abs(old_lj.x, old_lj.y, 0.0, 0.0)
}
function rc_cmd_listen() {

View File

@ -78,14 +78,7 @@ m_fTargetDistanceTolerance=0
m_lockstig = 1
# Lennard-Jones parameters, may need change
EPSILON = 4000 #13.5 the LJ parameter for other robots
# Lennard-Jones interaction magnitude
function FlockInteraction(dist,target,epsilon){
var mag = -(epsilon / dist) * ((target / dist)^4 - (target / dist)^2)
return mag
}
EPSILON_GRAPH = 4000 #13.5 the LJ parameter for other robots
#
#return the number of value in table
@ -264,7 +257,7 @@ function LJ_vec(i){
var target=target4label(nei_id)
var cDir={.x=0.0,.y=0.0}
if(target!="miss"){
cDir=math.vec2.newp(FlockInteraction(dis,target,EPSILON),ljbearing)
cDir=math.vec2.newp(lj_magnitude(dis,target,EPSILON_GRAPH), ljbearing)
}
#log(id,"dis=",dis,"target=",target,"label=",nei_id)
#log("x=",cDir.x,"y=",cDir.y)

View File

@ -7,6 +7,12 @@ function LimitAngle(angle){
return angle
}
function LimitSpeed(vel_vec, factor){
if(math.vec2.length(vel_vec)>GOTO_MAXVEL*factor)
vel_vec = math.vec2.scale(vel_vec, GOTO_MAXVEL*factor/math.vec2.length(vel_vec))
return vel_vec
}
# TODO: add other conversions....
function convert_path(P) {
var pathR={}

View File

@ -7,7 +7,7 @@ include "taskallocate/graphformGPS.bzz"
include "vstigenv.bzz"
#State launched after takeoff
AUTO_LAUNCH_STATE = "TASK_ALLOCATE"
AUTO_LAUNCH_STATE = "AGGREGATE"
#####
# Vehicule type: