louis
cfeedcf887
- 前馈冻结改用可配置的 3 秒流量绝对误差滑窗，修复采样抖动造成的重复解冻，并保留下游扰动后的自动更新 - 支持非单调阀特性反解、最小可测面积以下直接全关，以及闭阀端精细扫点与辨识开关 - 调整双压力判稳、最长等待时间、在线入口全开收尾和闭环四联图 - 更新配置、README、阀模型及离线测试，归档本轮实验数据与诊断产物
97 lines
3.3 KiB
Python
97 lines
3.3 KiB
Python
"""flow_control 前馈误差滑窗的离线自测（不连接硬件）。"""
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from collections import deque
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import pytest
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from flow_control import FlowControlLoop
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def _pid_threshold_loop():
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"""只构造测试 FAR/NEAR 阈值计算所需的状态。"""
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loop = FlowControlLoop.__new__(FlowControlLoop)
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loop.pid_near_error_min_slm = 1.0
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loop.pid_near_error_max_slm = 3.0
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loop.pid_near_error_target_ratio = 0.05
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loop.pid_far_error_min_slm = 4.0
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loop.pid_far_error_max_slm = 12.0
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loop.pid_far_error_target_ratio = 0.20
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return loop
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@pytest.mark.parametrize(
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("target", "expected_near", "expected_far"),
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[
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(10.0, 1.0, 4.0), # 比例值低于下限
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(30.0, 1.5, 6.0), # 比例值位于上下限之间
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(60.0, 3.0, 12.0), # 比例值恰好达到上限
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(300.0, 3.0, 12.0), # 比例值超过上限
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],
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)
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def test_pid_error_thresholds_are_clamped(target, expected_near, expected_far):
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loop = _pid_threshold_loop()
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near, far = loop._pid_error_thresholds(target)
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assert near == pytest.approx(expected_near)
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assert far == pytest.approx(expected_far)
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def _feedforward_window_loop():
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"""只构造测试滑窗所需的最小 FlowControlLoop 状态。"""
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loop = FlowControlLoop.__new__(FlowControlLoop)
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loop.target_flow_slm = 100.0
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loop.feedforward_update_window_s = 3.0
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loop._feedforward_error_window = deque()
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loop._feedforward_window_ready = False
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return loop
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def test_feedforward_window_stays_ready_despite_sampling_jitter():
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loop = _feedforward_window_loop()
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# 首个完整 3 s 窗口内误差恒为 2 SLM。
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sample_times = [0.0, 0.099]
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sample_times.extend(0.201 + 0.1 * index for index in range(28))
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sample_times.append(3.0)
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means = [
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loop._feedforward_window_mean_abs_error(timestamp, 98.0)
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for timestamp in sample_times
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]
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assert all(value is None for value in means[:-1])
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assert means[-1] == pytest.approx(2.0)
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assert loop._feedforward_window_ready
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# 下一周期淘汰旧样本后，队列首尾跨度仅 2.899 s。窗口仍应保持
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# ready，并返回最近 3 s 的误差均值，不能因约 0.1 s 抖动返回 None。
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mean = loop._feedforward_window_mean_abs_error(3.1, 98.0)
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span = (
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loop._feedforward_error_window[-1][0]
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- loop._feedforward_error_window[0][0]
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)
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assert span == pytest.approx(2.899)
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assert mean == pytest.approx(2.0)
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assert loop._feedforward_window_ready
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def test_ready_window_keeps_tracking_recent_error_and_can_reset():
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loop = _feedforward_window_loop()
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loop._feedforward_window_mean_abs_error(0.0, 98.0)
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assert loop._feedforward_window_mean_abs_error(3.0, 98.0) == pytest.approx(2.0)
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# 就绪状态不会冻结均值本身；最近 3 s 都变成 10 SLM 误差后，
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# 返回的新均值会超过默认 5 SLM 阈值，从而触发上层前馈更新。
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for index in range(1, 32):
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mean = loop._feedforward_window_mean_abs_error(
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3.0 + index * 0.1,
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90.0,
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)
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assert mean == pytest.approx(10.0)
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loop._reset_feedforward_error_window()
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assert not loop._feedforward_window_ready
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assert not loop._feedforward_error_window
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assert loop._feedforward_window_mean_abs_error(10.0, 90.0) is None
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