added plots for x and y position
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cfa669e498
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@ -213,7 +213,7 @@ class OpenLoopSolver:
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# ---- path constraints -----------
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# limit = lambda pos: 1-sin(2*pi*pos)/2
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# self.opti.subject_to(speed<=limit(pos)) # track speed limit
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maxcontrol = 0.95
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maxcontrol = 0.3
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self.opti.subject_to(self.opti.bounded(-maxcontrol, self.U, maxcontrol)) # control is limited
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# ---- boundary conditions --------
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@ -236,7 +236,17 @@ class OpenLoopSolver:
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if p is not None:
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for k in range(1,self.N):
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self.opti.subject_to((self.X[0,k]-p[0])**2 + (self.X[1,k]-p[1])**2 + self.slack > r**2)
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# pass
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# keep inside track
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# TODO
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# track_ids = track.inner.keys()
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# a = track.outer[track_ids[0]]
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# b = track.outer[track_ids[1]]
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# c = track.outer[track_ids[2]]
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# d = track.outer[track_ids[3]]
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#
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# for k in range(1, self.N):
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# self.opti.subject_to(self.opti.subject_to(self.X))
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posx = self.X[0, :]
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posy = self.X[1, :]
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angle = self.X[2, :]
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@ -124,13 +124,14 @@ def f_ode(t, x, u):
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class RemoteController:
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def __init__(self):
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self.robots = [Robot(15, '192.168.1.103')]
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#self.robots = [Robot(15, '192.168.1.103')]
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self.robots = [Robot(14, '192.168.1.102')]
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self.robot_ids = {}
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for r in self.robots:
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self.robot_ids[r.id] = r
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obst = [Obstacle(1, 0.175), Obstacle(5, 0.175), Obstacle(7, 0.175)]
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obst = [Obstacle(12, 0.25), Obstacle(10, 0.25), Obstacle(13, 0.25)]
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self.obstacles = {}
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for r in obst:
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@ -146,7 +147,7 @@ class RemoteController:
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self.rc_socket.connect((r.ip, 1234)) # connect to robot
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except socket.error:
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print("could not connect to socket")
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self.rc_socket = None
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sys.exit(1)
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self.t = time.time()
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@ -180,7 +181,10 @@ class RemoteController:
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# animation
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self.fig = plt.figure()
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self.ax = self.fig.add_subplot(1,1,1)
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self.ax = self.fig.add_subplot(2,2,1)
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self.ax2 = self.fig.add_subplot(2, 2, 2)
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self.ax3 = self.fig.add_subplot(2, 2, 4)
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self.xdata, self.ydata = [], []
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self.line, = self.ax.plot([],[], color='grey', linestyle=':')
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self.line_sim, = self.ax.plot([], [])
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@ -188,6 +192,9 @@ class RemoteController:
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self.dirm, = self.ax.plot([], [])
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self.dirs, = self.ax.plot([], [])
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self.line_x, = self.ax2.plot([],[])
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self.line_y, = self.ax3.plot([], [])
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self.track_line_inner, = self.ax.plot([], [])
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self.track_line_outer, = self.ax.plot([], [])
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@ -198,9 +205,17 @@ class RemoteController:
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for s in self.circles:
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self.ax.add_artist(s)
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plt.xlabel('x-position')
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plt.ylabel('y-position')
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plt.grid()
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self.ax.set_xlabel('x-position')
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self.ax.set_ylabel('y-position')
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self.ax.grid()
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self.ax2.set_xlabel('Zeit t')
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self.ax2.set_ylabel('x-position')
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self.ax2.grid()
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self.ax3.set_xlabel('Zeit t')
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self.ax3.set_ylabel('y-position')
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self.ax3.grid()
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self.ols = OpenLoopSolver()
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self.ols.setup()
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@ -224,11 +239,17 @@ class RemoteController:
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self.ax.set_ylim(-2, 2)
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self.ax.set_aspect('equal', adjustable='box')
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self.ax2.set_ylim(-2, 2)
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self.ax2.set_xlim(0, 10)
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self.ax3.set_ylim(-2, 2)
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self.ax3.set_xlim(0, 10)
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self.track_line_inner.set_data(self.track.inner_poly.exterior.xy)
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self.track_line_outer.set_data(self.track.outer_poly.exterior.xy)
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return self.line, self.line_sim, self.dirm, self.dirs, self.line_ol,\
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self.track_line_inner, self.track_line_outer, self.circles[0], self.circles[1],self.circles[2],
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self.track_line_inner, self.track_line_outer, self.line_x,self.line_y, self.circles[0], self.circles[1],self.circles[2],
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def ani_update(self, frame):
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#print("plotting")
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@ -252,6 +273,12 @@ class RemoteController:
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self.dirm.set_data(np.array([a, a2]), np.array([b, b2]))
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n_plot = 300
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if len(tm_local) > n_plot:
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# plot x and y coordinate
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self.line_x.set_data(tm_local[-n_plot:] - (tm_local[-1] - 10), xm_local[-n_plot:,0])
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self.line_y.set_data(tm_local[-n_plot:] - (tm_local[-1] - 10), xm_local[-n_plot:, 1])
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ts_local = deepcopy(self.ts)
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xs_local = deepcopy(self.xs)
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@ -289,7 +316,8 @@ class RemoteController:
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finally:
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self.mutex.release()
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return self.line, self.line_sim, self.dirm, self.dirs, self.line_ol, self.track_line_inner, self.track_line_outer, self.circles[0], self.circles[1],self.circles[2],
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return self.line, self.line_sim, self.dirm, self.dirs, self.line_ol, self.track_line_inner, self.track_line_outer,\
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self.line_x, self.line_y, self.circles[0], self.circles[1],self.circles[2],
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def measurement_callback(self, data):
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#print(data)
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@ -332,6 +360,19 @@ class RemoteController:
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def controller(self):
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print("starting control")
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targets = {}
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markers_in = self.track.inner.values()
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markers_out = self.track.outer.values()
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# find targets:
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for i in range(0,4):
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p = (np.array(markers_in[i]) + np.array(markers_out[i]))/2.0
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targets[i] = (p[0],p[1], 0.0)
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auto_control = False
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current_target = 0
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while True:
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# open loop controller
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@ -348,17 +389,33 @@ class RemoteController:
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elif event.key == pygame.K_0:
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self.target = (0.0, 0.0, 0.0)
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elif event.key == pygame.K_1:
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self.target = (0.5,0.5, -np.pi/2.0)
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#self.target = (0.5,0.5, -np.pi/2.0)
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self.target = targets[0]
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elif event.key == pygame.K_2:
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self.target = (0.5, -0.5, 0.0)
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#self.target = (0.5, -0.5, 0.0)
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self.target = targets[1]
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elif event.key == pygame.K_3:
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self.target = (-0.5,-0.5, np.pi/2.0)
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#self.target = (-0.5,-0.5, np.pi/2.0)
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self.target = targets[2]
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elif event.key == pygame.K_4:
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self.target = (-0.5,0.5, 0.0)
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#self.target = (-0.5,0.5, 0.0)
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self.target = targets[3]
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elif event.key == pygame.K_5:
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auto_control = not auto_control
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if auto_control:
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self.target = targets[current_target]
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if self.controlling:
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x_pred = self.get_measurement_prediction()
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if auto_control:
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if np.linalg.norm(x_pred[0:2]-np.array(self.target[0:2])) < 0.2:
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print("close to target!")
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current_target = (current_target + 1) % 4
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self.target = targets[current_target]
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print("new target = {}".format(current_target))
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tmpc_start = time.time()
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# solve mpc open loop problem
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