예제 #1
0
파일: sensorTest.py 프로젝트: nlurkin/Drone
    def __init__(self, dt):
        '''
        Constructor
        '''
        
        self.v_time = []
        
        self.true_omega = []
        self.v_omega =[]
        self.diff_omega = []

        self.true_alpha = []
        self.v_alpha =[]
        self.diff_alpha = []
        
        if self.type==1:
            self.queue_alpha = []
        elif self.type==2:
            self.filter = KalmanGeneric(1, 2, 1)
            #self.filter.setMatH([[1,0]])
            #self.filter.setMatF([[1, dt],[0, 1]])
            #self.filter.setQ([[dt*dt, 0], [0, 1.]])
            #self.filter.setR([[1.86E-5, 0], [0, 1.87E-5]])
            sigma_omega = 1./(131.*4.)
            self.filter.setMatH([[1,0]])
            self.filter.setMatF([[1, dt],[0, 1]])
            self.filter.setQ([[dt*dt*dt*dt/4., dt*dt*dt/2.], [dt*dt*dt/2., dt*dt]])
            self.filter.setR([[sigma_omega*sigma_omega]])
            self.filter.setB([[dt],[1]])
            self.filter.setX0([[0],[0]])
            self.filter.setP0([[1, 0], [0, 1]])
예제 #2
0
파일: sensorTest.py 프로젝트: nlurkin/Drone
class PrecisionTest(object):
    '''
    classdocs
    '''
    
    position = None
    speed = None
    acceleration = None
    
    attitude = None
    omega = None
    alpha = None
    
    control = None
    
    time = None
    
    old_attitude = None
    old_omega = None
    old_time = None
    
    v_time = None
    
    true_omega = None
    v_omega = None
    diff_omega = None
    
    true_alpha = None
    v_alpha = None
    diff_alpha = None
    
    type = 2
    
    filter = None
    
    queue_alpha = None
    size_alpha = 2
    
    def __init__(self, dt):
        '''
        Constructor
        '''
        
        self.v_time = []
        
        self.true_omega = []
        self.v_omega =[]
        self.diff_omega = []

        self.true_alpha = []
        self.v_alpha =[]
        self.diff_alpha = []
        
        if self.type==1:
            self.queue_alpha = []
        elif self.type==2:
            self.filter = KalmanGeneric(1, 2, 1)
            #self.filter.setMatH([[1,0]])
            #self.filter.setMatF([[1, dt],[0, 1]])
            #self.filter.setQ([[dt*dt, 0], [0, 1.]])
            #self.filter.setR([[1.86E-5, 0], [0, 1.87E-5]])
            sigma_omega = 1./(131.*4.)
            self.filter.setMatH([[1,0]])
            self.filter.setMatF([[1, dt],[0, 1]])
            self.filter.setQ([[dt*dt*dt*dt/4., dt*dt*dt/2.], [dt*dt*dt/2., dt*dt]])
            self.filter.setR([[sigma_omega*sigma_omega]])
            self.filter.setB([[dt],[1]])
            self.filter.setX0([[0],[0]])
            self.filter.setP0([[1, 0], [0, 1]])

    
    def setAngularMeasure(self, quat, omega, t):
        self.old_attitude = self.attitude
        self.old_omega = self.omega
        self.old_time = self.time
        
        self.attitude = quat
        self.omega = int(omega[0]*(131*2))/(131.*2.)
        #print "%s / %s" % (self.omega, omega[0])
        self.time = t
    
    def setControl(self, c):
        self.control = c
    
    def computeValues(self):
        if self.type==0:
            self.computeSingleAverage()
        elif self.type==1:
            self.computeMultipleAverage()
        elif self.type==2:
            self.computeKalman()
        
    def computeSingleAverage(self):
        if(self.old_time==None):
            return
        self.alpha = (self.omega - self.old_omega)/(self.time-self.old_time)
    
    def computeMultipleAverage(self):
        if(self.old_time==None):
            return
        alpha = (self.omega - self.old_omega)/(self.time-self.old_time)
        if len(self.queue_alpha)>self.size_alpha:
            self.queue_alpha.pop()
        self.queue_alpha.insert(0, alpha)
        self.alpha = 0.
        for el in self.queue_alpha:
            self.alpha += el
        
        self.alpha /= len(self.queue_alpha)
    
    def computeKalman(self):
        if(self.old_time==None):
            self.filter.setX0([[self.omega],[0]])
            self.filter.setP0([[1000,0], [0,1]])
        [[self.omega],[self.alpha]] = self.filter.newMeasure([[self.omega]], [[0]])
        #print self.omega, self.alpha

    def compare(self, omega, alpha):
        if(self.old_time==None):
            return
        self.v_time.append(self.time)

        self.true_omega.append(omega[0])
        self.v_omega.append(self.omega)
        self.diff_omega.append(self.omega-omega[0])

        self.true_alpha.append(alpha[0])
        self.v_alpha.append(self.alpha)
        self.diff_alpha.append(self.alpha-alpha[0])
         
    def plot(self):
        plt.subplot(4, 1, 1)
        plt.title("omega")
        plt.plot(self.v_time, self.v_omega, "r", self.v_time, self.true_omega, "b")
        plt.subplot(4, 1, 2)
        plt.title("omega_diff")
        plt.plot(self.v_time, self.diff_omega, "r")

        plt.subplot(4, 1, 3)
        plt.title("alpha")
        plt.plot(self.v_time, self.v_alpha, "r", self.v_time, self.true_alpha, "b")
        plt.subplot(4, 1, 4)
        plt.title("alpha_diff")
        plt.plot(self.v_time, self.diff_alpha, "r")
        
        plt.show()
예제 #3
0
파일: testkalman.py 프로젝트: nlurkin/Drone
def test2():
    kal = KalmanGeneric(1,2, 0)
    
    dt = 0.1
    sigma_omega = 0.01
    
    kal.setMatH([[1,0]])
    kal.setMatF([[1, dt],[0, 1]])
    kal.setQ([[dt*dt, 0], [0, 1.]])
    kal.setR([[sigma_omega*sigma_omega]])
    #kal.setB([[0],[0]])
    
    omega = 1
    alpha = 0.5
    
    kal.setX0([[1],[0]])
    kal.setP0([[1000, 0], [0, 1]])
    
    av = []
    ov = []
    okv = []
    akv = []
    tv = []
    delta_akv = []
    
    for t in range(0, 500):
        alpha = alpha + 0.1
        omega = omega + alpha*dt
        [o_k, a_k] = kal.newMeasure([[random.normalvariate(omega, sigma_omega)]],[[]])
        
        tv.append(t*dt)
        av.append(alpha)
        ov.append(omega)
        akv.append(a_k[0])
        okv.append(o_k[0])
        delta_akv.append(alpha-a_k[0])
        #print "Real value %s / %s" % (theta, omega)
        #print "           %s / %s" % (t_k, v_k)
    
    #print kal
    
    plt.subplot(3, 1, 1)
    plt.plot(tv, okv, "r", tv, ov, "b")
    plt.subplot(3, 1, 2)
    plt.plot(tv, akv, "r", tv, av, "b")
    plt.subplot(3, 1, 3)
    plt.plot(tv, delta_akv, "r")
    
    plt.show()
예제 #4
0
파일: testkalman.py 프로젝트: nlurkin/Drone
def test1():
    kal = KalmanGeneric(1, 2, 1)
    
    dt = 0.1
    sigma_theta = 0.01
    
    kal.setMatH([[1,0]])
    kal.setMatF([[1, dt],[0, 1]])
    kal.setQ([[dt*dt*dt*dt/4., dt*dt*dt/2.], [dt*dt*dt/2., dt*dt]])
    kal.setR([[sigma_theta*sigma_theta]])
    kal.setB([[dt*dt/2.],[dt]])
    
    theta = 0
    omega = 0
    #alpha = 0.2
    
    kal.setX0([[0],[0]])
    kal.setP0([[1000, 0], [0, 1000]])
    
    av = []
    thv = []
    ov = []
    tkv = []
    okv = []
    tv = []
    
    for t in range(0, 500):
        
        
        alpha = random.normalvariate(0, 1) + 10;
        omega = omega + alpha*dt
        theta = theta + omega*dt
        [[t_k], [v_k]] = kal.newMeasure([[random.normalvariate(theta, sigma_theta)]],[[10]])
        
        tv.append(t*dt)
        av.append(alpha)
        ov.append(omega)
        thv.append(theta)
        tkv.append(t_k - theta)
        okv.append(v_k - omega)
        #print "Real value %s / %s" % (theta, omega)
        #print "           %s / %s" % (t_k, v_k)
    
    #print kal
    
    plt.subplot(3, 1, 1)
    plt.plot(tv, tkv, "r", tv, thv, "b")
    plt.subplot(3, 1, 2)
    plt.plot(tv, okv, "r", tv, ov, "b")
    plt.subplot(3, 1, 3)
    plt.plot(tv, av, "b")
    
    plt.show()