forked from Telos4/RoboRally
added warmstart
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@ -8,6 +8,9 @@ class OpenLoopSolver:
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self.T = T
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self.T = T
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self.N = N
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self.N = N
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self.opti_x0 = None
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self.opti_lam_g0 = None
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def setup(self):
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def setup(self):
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x = SX.sym('x')
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x = SX.sym('x')
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y = SX.sym('y')
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y = SX.sym('y')
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@ -213,7 +216,8 @@ class OpenLoopSolver:
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# self.opti.subject_to(speed[-1]==0) # .. with speed 0
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# self.opti.subject_to(speed[-1]==0) # .. with speed 0
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self.opti.subject_to(self.Q[:, 0] == 0.0)
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self.opti.subject_to(self.Q[:, 0] == 0.0)
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self.opti.solver("ipopt")
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solver = self.opti.solver("ipopt", {}, {"print_level": 0})
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# ---- misc. constraints ----------
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# ---- misc. constraints ----------
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# self.opti.subject_to(X[1,:]>=0) # Time must be positive
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# self.opti.subject_to(X[1,:]>=0) # Time must be positive
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@ -237,9 +241,13 @@ class OpenLoopSolver:
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print("setting up problem took {} seconds".format(tend - tstart))
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print("setting up problem took {} seconds".format(tend - tstart))
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if self.opti_x0 is not None:
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self.opti.set_initial(self.opti.lam_g, self.opti_lam_g0)
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self.opti.set_initial(self.opti.x, self.opti_x0)
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sol = self.opti.solve() # actual solve
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sol = self.opti.solve() # actual solve
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#x0 = sol.value(self.opti.x)
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self.opti_x0 = sol.value(self.opti.x)
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self.opti_lam_g0 = sol.value(self.opti.lam_g)
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#u_opt_1 = map(lambda x: float(x), [u_opt[i * 2] for i in range(0, 60)])
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#u_opt_1 = map(lambda x: float(x), [u_opt[i * 2] for i in range(0, 60)])
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#u_opt_2 = map(lambda x: float(x), [u_opt[i * 2 + 1] for i in range(0, 60)])
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#u_opt_2 = map(lambda x: float(x), [u_opt[i * 2 + 1] for i in range(0, 60)])
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@ -249,8 +257,7 @@ class OpenLoopSolver:
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return (u_opt_1, u_opt_2)
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return (u_opt_1, u_opt_2)
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#lam_g0 = sol.value(self.opti.lam_g)
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#lam_g0 = sol.value(self.opti.lam_g)
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#self.opti.set_initial(self.opti.lam_g, lam_g0)
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#self.opti.set_initial(self.opti.x, x0)
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#self.opti.solve()
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#self.opti.solve()
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from pylab import plot, step, figure, legend, show, spy
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from pylab import plot, step, figure, legend, show, spy
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