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https://github.com/ArduPilot/ardupilot
synced 2025-01-03 06:28:27 -04:00
Tools: add CMSIS DSP module to waf for M4 ChibiOS and control inclusion of FFT based on HAL_WITH_DSP and GYROFFT_ENABLED. target appropriate ARM cpus
sophisticated autotest for Gyro FFT
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593ff6818d
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@ -96,6 +96,7 @@ COMMON_VEHICLE_DEPENDENT_LIBRARIES = [
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'AP_Hott_Telem',
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'AP_ESC_Telem',
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'AP_Stats',
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'AP_GyroFFT',
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]
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def get_legacy_defines(sketch_name):
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@ -490,6 +490,7 @@ class chibios(Board):
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'--specs=nano.specs',
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'-specs=nosys.specs',
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'-DCHIBIOS_BOARD_NAME="%s"' % self.name,
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'-D__USE_CMSIS',
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]
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env.CXXFLAGS += env.CFLAGS + [
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'-fno-rtti',
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@ -525,6 +526,7 @@ class chibios(Board):
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'-L%s' % env.BUILDROOT,
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'-L%s' % cfg.srcnode.make_node('modules/ChibiOS/os/common/startup/ARMCMx/compilers/GCC/ld/').abspath(),
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'-L%s' % cfg.srcnode.make_node('libraries/AP_HAL_ChibiOS/hwdef/common/').abspath(),
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'-L%s' % cfg.srcnode.make_node('libraries/AP_GyroFFT/CMSIS_5/lib/').abspath(),
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'-Wl,--gc-sections,--no-warn-mismatch,--library-path=/ld,--script=ldscript.ld,--defsym=__process_stack_size__=%s,--defsym=__main_stack_size__=%s' % (cfg.env.PROCESS_STACK, cfg.env.MAIN_STACK)
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]
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@ -551,6 +553,10 @@ class chibios(Board):
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'ChibiOS',
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]
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env.INCLUDES += [
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cfg.srcnode.find_dir('libraries/AP_GyroFFT/CMSIS_5/include').abspath()
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]
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try:
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import intelhex
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env.HAVE_INTEL_HEX = True
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@ -374,7 +374,6 @@ def configure(cfg):
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cfg.fatal("Failed to process hwdef.dat")
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if ret != 0:
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cfg.fatal("Failed to process hwdef.dat ret=%d" % ret)
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load_env_vars(cfg.env)
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if env.HAL_WITH_UAVCAN:
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setup_can_build(cfg)
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@ -421,8 +420,12 @@ def build(bld):
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target=bld.bldnode.find_or_declare('modules/ChibiOS/libch.a')
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)
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ch_task.name = "ChibiOS_lib"
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bld.env.LIB += ['ch']
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if bld.env.CORTEX == 'cortex-m4':
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bld.env.LIB += ['ch', 'arm_cortexM4lf_math']
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elif bld.env.CORTEX == 'cortex-m7':
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bld.env.LIB += ['ch', 'arm_cortexM7lfdp_math']
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else:
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bld.env.LIB += ['ch']
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bld.env.LIBPATH += ['modules/ChibiOS/']
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# list of functions that will be wrapped to move them out of libc into our
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# own code note that we also include functions that we deliberately don't
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@ -1836,6 +1836,8 @@ class AutoTestCopter(AutoTest):
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ex = None
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try:
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self.set_rc_default()
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# magic tridge EKF type that dramatically speeds up the test
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self.set_parameter("AHRS_EKF_TYPE", 10)
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self.set_parameter("INS_LOG_BAT_MASK", 3)
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self.set_parameter("INS_LOG_BAT_OPT", 0)
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self.set_parameter("LOG_BITMASK", 958)
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@ -3625,6 +3627,8 @@ class AutoTestCopter(AutoTest):
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def fly_dynamic_notches(self):
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self.progress("Flying with dynamic notches")
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# magic tridge EKF type that dramatically speeds up the test
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self.set_parameter("AHRS_EKF_TYPE", 10)
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self.set_parameter("INS_HNTCH_ENABLE", 1)
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self.set_parameter("INS_HNTCH_FREQ", 80)
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self.set_parameter("INS_HNTCH_REF", 0.35)
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@ -3635,6 +3639,7 @@ class AutoTestCopter(AutoTest):
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self.reboot_sitl()
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self.set_parameter("SIM_GYR_RND", 10)
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self.takeoff(10, mode="LOITER")
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self.change_mode("ALT_HOLD")
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@ -3647,6 +3652,186 @@ class AutoTestCopter(AutoTest):
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self.do_RTL()
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def hover_and_check_matched_frequency(self, dblevel=-15, minhz=200, maxhz=300, peakhz=None):
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# find a motor peak
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self.takeoff(10, mode="ALT_HOLD")
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hover_time = 15
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tstart = self.get_sim_time()
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self.progress("Hovering for %u seconds" % hover_time)
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while self.get_sim_time_cached() < tstart + hover_time:
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attitude = self.mav.recv_match(type='ATTITUDE', blocking=True)
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vfr_hud = self.mav.recv_match(type='VFR_HUD', blocking=True)
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tend = self.get_sim_time()
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self.do_RTL()
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psd = self.mavfft_fttd(1, 0, tstart * 1.0e6, tend * 1.0e6)
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# batch sampler defaults give 1024 fft and sample rate of 1kz so roughly 1hz/bin
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freq = psd["F"][numpy.argmax(psd["X"][minhz:maxhz]) + minhz] * (1000. / 1024.)
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peakdb = numpy.amax(psd["X"][minhz:maxhz])
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if peakdb < dblevel or (peakhz is not None and abs(freq - peakhz) / peakhz > 0.05):
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raise NotAchievedException("Did not detect a motor peak, found %fHz at %fdB" % (freq, peakdb))
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else:
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self.progress("Detected motor peak at %fHz, throttle %f%%, %fdB" % (freq, vfr_hud.throttle, peakdb))
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# we have a peak make sure that the FFT detected something close
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# logging is at 10Hz
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mlog = self.dfreader_for_current_onboard_log()
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pkAvg = freq
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nmessages = 1
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m = mlog.recv_match(type='FTN1', blocking=False,
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condition="FTN1.TimeUS>%u and FTN1.TimeUS<%u" % (tstart * 1.0e6, tend * 1.0e6))
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while m is not None:
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nmessages = nmessages + 1
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pkAvg = pkAvg + (0.1 * (m.PkAvg - pkAvg))
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m = mlog.recv_match(type='FTN1', blocking=False,
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condition="FTN1.TimeUS>%u and FTN1.TimeUS<%u" % (tstart * 1.0e6, tend * 1.0e6))
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self.progress("Detected motor peak at %fHz processing %d messages" % (pkAvg, nmessages))
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# peak within 5%
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if abs(pkAvg - freq) / freq > 0.1:
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raise NotAchievedException("FFT did not detect a motor peak at %f, found %f, wanted %f" % (dblevel, pkAvg, freq))
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return freq
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def fly_gyro_fft(self):
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"""Use dynamic harmonic notch to control motor noise."""
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# basic gyro sample rate test
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self.progress("Flying with gyro FFT - Gyro sample rate")
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self.context_push()
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ex = None
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try:
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self.set_rc_default()
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# magic tridge EKF type that dramatically speeds up the test
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self.set_parameter("AHRS_EKF_TYPE", 10)
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self.set_parameter("EK2_ENABLE", 0)
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self.set_parameter("INS_LOG_BAT_MASK", 3)
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self.set_parameter("INS_LOG_BAT_OPT", 0)
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self.set_parameter("INS_GYRO_FILTER", 100)
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self.set_parameter("INS_FAST_SAMPLE", 0)
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self.set_parameter("LOG_BITMASK", 958)
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self.set_parameter("LOG_DISARMED", 0)
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self.set_parameter("SIM_DRIFT_SPEED", 0)
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self.set_parameter("SIM_DRIFT_TIME", 0)
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# enable a noisy motor peak
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self.set_parameter("SIM_GYR_RND", 20)
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# enabling FFT will also enable the arming check, self-testing the functionality
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self.set_parameter("FFT_ENABLE", 1)
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self.set_parameter("FFT_MINHZ", 50)
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self.set_parameter("FFT_MAXHZ", 450)
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self.set_parameter("FFT_SNR_REF", 10)
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self.set_parameter("FFT_WINDOW_SIZE", 128)
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self.set_parameter("FFT_WINDOW_OLAP", 0.75)
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# Step 1: inject a very precise noise peak at 250hz and make sure the in-flight fft
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# can detect it really accurately. For a 128 FFT the frequency resolution is 8Hz so
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# a 250Hz peak should be detectable within 5%
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self.set_parameter("SIM_VIB_FREQ_X", 250)
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self.set_parameter("SIM_VIB_FREQ_Y", 250)
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self.set_parameter("SIM_VIB_FREQ_Z", 250)
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self.reboot_sitl()
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# find a motor peak
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self.hover_and_check_matched_frequency(-15, 100, 350, 250)
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# Step 2: inject actual motor noise and use the standard length FFT to track it
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self.set_parameter("SIM_VIB_FREQ_X", 0)
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self.set_parameter("SIM_VIB_FREQ_Y", 0)
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self.set_parameter("SIM_VIB_FREQ_Z", 0)
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self.set_parameter("SIM_VIB_MOT_MAX", 250) # gives a motor peak at about 175Hz
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self.set_parameter("FFT_WINDOW_SIZE", 32)
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self.set_parameter("FFT_WINDOW_OLAP", 0.5)
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self.reboot_sitl()
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freq = self.hover_and_check_matched_frequency(-15, 100, 250)
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# Step 2a: add a second harmonic and check the first is still tracked
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self.set_parameter("SIM_VIB_FREQ_X", freq * 2)
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self.set_parameter("SIM_VIB_FREQ_Y", freq * 2)
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self.set_parameter("SIM_VIB_FREQ_Z", freq * 2)
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self.set_parameter("SIM_VIB_MOT_MULT", 0.25) # halve the motor noise so that the higher harmonic dominates
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self.reboot_sitl()
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self.hover_and_check_matched_frequency(-15, 100, 250)
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self.set_parameter("SIM_VIB_FREQ_X", 0)
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self.set_parameter("SIM_VIB_FREQ_Y", 0)
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self.set_parameter("SIM_VIB_FREQ_Z", 0)
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self.set_parameter("SIM_VIB_MOT_MULT", 1.)
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# Step 3: add a FFT dynamic notch and check that the peak is squashed
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self.set_parameter("INS_LOG_BAT_OPT", 2)
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self.set_parameter("INS_HNTCH_ENABLE", 1)
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self.set_parameter("INS_HNTCH_FREQ", freq)
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self.set_parameter("INS_HNTCH_REF", 1.0)
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self.set_parameter("INS_HNTCH_ATT", 50)
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self.set_parameter("INS_HNTCH_BW", freq/2)
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self.set_parameter("INS_HNTCH_MODE", 4)
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self.reboot_sitl()
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self.takeoff(10, mode="ALT_HOLD")
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hover_time = 15
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ignore_bins = 20
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self.progress("Hovering for %u seconds" % hover_time)
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tstart = self.get_sim_time()
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while self.get_sim_time_cached() < tstart + hover_time:
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attitude = self.mav.recv_match(type='ATTITUDE', blocking=True)
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tend = self.get_sim_time()
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# fly fast forrest!
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self.set_rc(3, 1900)
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self.set_rc(2, 1200)
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self.wait_groundspeed(5, 1000)
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self.set_rc(3, 1500)
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self.set_rc(2, 1500)
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self.do_RTL()
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psd = self.mavfft_fttd(1, 0, tstart * 1.0e6, tend * 1.0e6)
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freq = psd["F"][numpy.argmax(psd["X"][ignore_bins:]) + ignore_bins]
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dblevel = numpy.amax(psd["X"][ignore_bins:])
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if dblevel < -10:
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self.progress("Did not detect a motor peak, found %fHz at %fdB" % (freq, dblevel))
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else:
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raise NotAchievedException("Detected %fHz motor peak at %fdB" % (freq, dblevel))
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# Step 4: loop sample rate test with larger window
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self.progress("Flying with gyro FFT - Fast loop rate")
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# we are limited to half the loop rate for frequency detection
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self.set_parameter("FFT_MAXHZ", 185)
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self.set_parameter("INS_LOG_BAT_OPT", 0)
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self.set_parameter("SIM_VIB_MOT_MAX", 220)
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self.set_parameter("FFT_WINDOW_SIZE", 64)
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self.set_parameter("FFT_WINDOW_OLAP", 0.75)
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self.set_parameter("FFT_SAMPLE_MODE", 1)
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self.reboot_sitl()
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self.takeoff(10, mode="ALT_HOLD")
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self.progress("Hovering for %u seconds" % hover_time)
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tstart = self.get_sim_time()
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while self.get_sim_time_cached() < tstart + hover_time:
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attitude = self.mav.recv_match(type='ATTITUDE', blocking=True)
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tend = self.get_sim_time()
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self.do_RTL()
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# prevent update parameters from messing with the settings when we pop the context
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self.set_parameter("FFT_ENABLE", 0)
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self.reboot_sitl()
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except Exception as e:
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ex = e
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self.context_pop()
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if ex is not None:
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raise ex
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def test_onboard_compass_calibration(self, timeout=300):
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params = [
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("SIM_MAG_DIA_X", "COMPASS_DIA_X", 1.0),
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@ -4631,6 +4816,10 @@ class AutoTestCopter(AutoTest):
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"Fly Dynamic Notches",
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self.fly_dynamic_notches),
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("GyroFFT",
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"Fly Gyro FFT",
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self.fly_gyro_fft),
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("RangeFinderDrivers",
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"Test rangefinder drivers",
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self.fly_rangefinder_drivers),
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