import math from common.numpy_fast import clip MAX_ANGLE_OFFSET = math.radians(10.) MAX_ANGLE_OFFSET_TH = math.radians(9.) MIN_STIFFNESS = 0.5 MAX_STIFFNESS = 2.0 MIN_SR = 0.5 MAX_SR = 2.0 MIN_SR_TH = 0.55 MAX_SR_TH = 1.9 DEBUG = False class ParamsLearner(): def __init__(self, VM, angle_offset=0., stiffness_factor=1.0, steer_ratio=None, learning_rate=1.0): self.VM = VM self.ao = math.radians(angle_offset) self.slow_ao = math.radians(angle_offset) self.x = stiffness_factor self.sR = VM.sR if steer_ratio is None else steer_ratio self.MIN_SR = MIN_SR * self.VM.sR self.MAX_SR = MAX_SR * self.VM.sR self.MIN_SR_TH = MIN_SR_TH * self.VM.sR self.MAX_SR_TH = MAX_SR_TH * self.VM.sR self.alpha1 = 0.01 * learning_rate self.alpha2 = 0.0005 * learning_rate self.alpha3 = 0.1 * learning_rate self.alpha4 = 1.0 * learning_rate def get_values(self): return { 'angleOffsetAverage': math.degrees(self.slow_ao), 'stiffnessFactor': self.x, 'steerRatio': self.sR, } def update(self, psi, u, sa): cF0 = self.VM.cF cR0 = self.VM.cR aR = self.VM.aR aF = self.VM.aF l = self.VM.l m = self.VM.m x = self.x ao = self.ao sR = self.sR # Gradient descent: learn angle offset, tire stiffness and steer ratio. if u > 10.0 and abs(math.degrees(sa)) < 15.: self.ao -= self.alpha1 * 2.0*cF0*cR0*l*u*x*(1.0*cF0*cR0*l*u*x*(ao - sa) + psi*sR*(cF0*cR0*l**2*x - m*u**2*(aF*cF0 - aR*cR0)))/(sR**2*(cF0*cR0*l**2*x - m*u**2*(aF*cF0 - aR*cR0))**2) ao = self.slow_ao self.slow_ao -= self.alpha2 * 2.0*cF0*cR0*l*u*x*(1.0*cF0*cR0*l*u*x*(ao - sa) + psi*sR*(cF0*cR0*l**2*x - m*u**2*(aF*cF0 - aR*cR0)))/(sR**2*(cF0*cR0*l**2*x - m*u**2*(aF*cF0 - aR*cR0))**2) self.x -= self.alpha3 * -2.0*cF0*cR0*l*m*u**3*(ao - sa)*(aF*cF0 - aR*cR0)*(1.0*cF0*cR0*l*u*x*(ao - sa) + psi*sR*(cF0*cR0*l**2*x - m*u**2*(aF*cF0 - aR*cR0)))/(sR**2*(cF0*cR0*l**2*x - m*u**2*(aF*cF0 - aR*cR0))**3) self.sR -= self.alpha4 * -2.0*cF0*cR0*l*u*x*(ao - sa)*(1.0*cF0*cR0*l*u*x*(ao - sa) + psi*sR*(cF0*cR0*l**2*x - m*u**2*(aF*cF0 - aR*cR0)))/(sR**3*(cF0*cR0*l**2*x - m*u**2*(aF*cF0 - aR*cR0))**2) if DEBUG: # s1 = "Measured yaw rate % .6f" % psi # ao = 0. # s2 = "Uncompensated yaw % .6f" % (1.0*u*(-ao + sa)/(l*sR*(1 - m*u**2*(aF*cF0*x - aR*cR0*x)/(cF0*cR0*l**2*x**2)))) # instant_ao = aF*m*psi*sR*u/(cR0*l*x) - aR*m*psi*sR*u/(cF0*l*x) - l*psi*sR/u + sa s4 = "Instant AO: % .6f Avg. AO % .6f" % (math.degrees(self.ao), math.degrees(self.slow_ao)) s5 = "Stiffnes: % .6f x" % self.x s6 = "sR: %.4f" % self.sR print("{0} {1} {2}".format(s4, s5, s6)) self.ao = clip(self.ao, -MAX_ANGLE_OFFSET, MAX_ANGLE_OFFSET) self.slow_ao = clip(self.slow_ao, -MAX_ANGLE_OFFSET, MAX_ANGLE_OFFSET) self.x = clip(self.x, MIN_STIFFNESS, MAX_STIFFNESS) self.sR = clip(self.sR, self.MIN_SR, self.MAX_SR) # don't check stiffness for validity, as it can change quickly if sR is off valid = abs(self.slow_ao) < MAX_ANGLE_OFFSET_TH and \ self.sR > self.MIN_SR_TH and self.sR < self.MAX_SR_TH return valid