louis
292815e907
- 输入模式下控制循环照常运行、原目标继续生效，直到回车确认新值 - 输入期间终端输出整体静默（状态行/性能报告均不打印），文件日志与 CSV 照常写入 - 新增 ConsoleGate 过滤器挂到 console_handler，退出路径统一解除静默 - 新增 PerformanceReporter.reset()，切换目标后重新判稳并再次输出性能报告 - 新增 config.TARGET_SWITCH_KEY 配置项，README 同步说明
192 lines
6.9 KiB
Python
192 lines
6.9 KiB
Python
"""控制性能报告：在达到稳态后输出 PID 参数、调节时间、超调量和控制范围。
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本模块只负责观测每个控制周期产出的 ControlStepResult，用滑动时间窗口判断
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稳态，并在首次进入稳态时打印一份一次性报告；不参与任何控制计算。
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"""
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from collections import deque
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import math
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import statistics
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class PerformanceReporter:
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"""逐周期观测流量，判定稳态并输出控制性能报告。
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稳态判定采用两个条件同时满足（AND）：
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1. 滑窗均值落在目标流量 ±band_pct% 误差带内；
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2. 滑窗标准差低于 std_pct% 目标流量阈值。
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报告只在首次判定稳态时输出一次。
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"""
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def __init__(
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self,
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pid,
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*,
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window_s,
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sample_period_s,
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band_pct,
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std_pct,
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flow_range_min_slm,
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flow_range_max_slm,
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initial_flow_slm=None,
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logger=None,
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):
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self.pid = pid
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self.window_s = float(window_s)
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self.sample_period_s = float(sample_period_s)
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self.band_pct = float(band_pct)
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self.std_pct = float(std_pct)
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self.flow_range_min_slm = float(flow_range_min_slm)
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self.flow_range_max_slm = float(flow_range_max_slm)
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self.initial_flow_slm = (
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None if initial_flow_slm is None else float(initial_flow_slm)
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)
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self.logger = logger
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self.target_flow_slm = None
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self.settling_time_s = None
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self.steady_mean = None
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self.steady_std = None
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self.steady_error_slm = None
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self._first_timestamp = None
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self._peak_flow_slm = None
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self._min_flow_slm = None
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self._window = deque() # 元素为 (elapsed_s, flow_slm)
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self._reached = False
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def observe(self, result):
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"""喂入一个 ControlStepResult；达到稳态时自动输出一次报告。"""
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if self._reached:
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return
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if result.status != "OK" or result.measured_flow_slm is None:
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return
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flow = float(result.measured_flow_slm)
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if not math.isfinite(flow):
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return
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target = float(result.target_flow_slm)
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if target <= 0.0:
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return
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self.target_flow_slm = target
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if self._first_timestamp is None:
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self._first_timestamp = float(result.timestamp)
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elapsed_s = max(0.0, float(result.timestamp) - self._first_timestamp)
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if self.initial_flow_slm is None:
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self.initial_flow_slm = flow
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if self._peak_flow_slm is None or flow > self._peak_flow_slm:
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self._peak_flow_slm = flow
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if self._min_flow_slm is None or flow < self._min_flow_slm:
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self._min_flow_slm = flow
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self._window.append((elapsed_s, flow))
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cutoff = elapsed_s - self.window_s
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while self._window and self._window[0][0] < cutoff:
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self._window.popleft()
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if len(self._window) < 2:
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return
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# 采样时间戳会有轻微抖动。旧样本按 window_s 剔除后，窗口跨度通常会
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# 比 window_s 少一个采样周期；若仍严格要求完整 window_s，判稳可能
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# 只能依赖浮点时间戳碰巧相等。允许一个采样周期的覆盖余量。
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min_span = max(0.0, self.window_s - self.sample_period_s)
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if self._window[-1][0] - self._window[0][0] < min_span:
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return
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flows = [item[1] for item in self._window]
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mean = statistics.mean(flows)
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std = statistics.pstdev(flows)
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band = self.band_pct / 100.0 * target
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std_threshold = self.std_pct / 100.0 * target
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if abs(mean - target) <= band and std <= std_threshold:
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self._reached = True
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self.settling_time_s = elapsed_s
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self.steady_mean = mean
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self.steady_std = std
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self.steady_error_slm = target - mean
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self._report()
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def finalize(self):
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"""运行结束调用；若始终未达到稳态则补一条提示日志。"""
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if not self._reached and self.target_flow_slm is not None:
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self._log("info", "本次运行未达到稳态，未生成控制性能报告")
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def reset(self):
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"""清空判稳状态，使切换目标后能重新判定稳态并再次输出报告。
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``initial_flow_slm`` 一并置空，观察器会在下一个有效样本上重新把它
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初始化为切换目标时刻的实测流量，从而保证新目标的超调方向判断正确。
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"""
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self._reached = False
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self.target_flow_slm = None
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self.settling_time_s = None
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self.steady_mean = None
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self.steady_std = None
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self.steady_error_slm = None
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self._first_timestamp = None
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self._peak_flow_slm = None
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self._min_flow_slm = None
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self.initial_flow_slm = None
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self._window.clear()
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@property
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def steady_reached(self):
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"""是否已判定达到稳态（供主循环决定是否自动停止）。"""
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return self._reached
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def _report(self):
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target = self.target_flow_slm
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initial = self.initial_flow_slm
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peak = self._peak_flow_slm
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minimum = self._min_flow_slm
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if initial < target:
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overshoot_abs = max(0.0, peak - target)
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extremum_text = f"峰值 {peak:.3f} SLM"
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direction = "超出目标"
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elif initial > target:
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overshoot_abs = max(0.0, target - minimum)
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extremum_text = f"谷值 {minimum:.3f} SLM"
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direction = "低于目标"
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else:
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overshoot_abs = 0.0
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extremum_text = f"峰值 {peak:.3f} SLM"
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direction = "无"
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overshoot_pct = overshoot_abs / target * 100.0
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lines = [
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"===== 控制性能报告 =====",
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(
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f"PID 参数: Kp={self.pid.kp:.3f} Ki={self.pid.ki:.3f} "
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f"Kd={self.pid.kd:.3f}"
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),
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f"目标流量: {target:.3f} SLM",
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(
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f"控制范围: {self.flow_range_min_slm:.3f} ~ "
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f"{self.flow_range_max_slm:.3f} SLM"
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),
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f"调节时间(至稳态): {self.settling_time_s:.3f} s",
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f"稳态流量(窗口均值): {self.steady_mean:.3f} SLM",
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f"稳态标准差(窗口): {self.steady_std:.3f} SLM",
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(
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f"稳态误差: {self.steady_error_slm:+.3f} SLM "
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f"(目标 - 稳态均值)"
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),
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f"初始流量: {initial:.3f} SLM",
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(
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f"超调量: {extremum_text}，{direction} "
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f"{overshoot_abs:+.3f} SLM ({overshoot_pct:+.2f}%)"
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),
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"========================",
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]
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self._log("info", "\n".join(lines))
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def _log(self, level, message, *args):
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if self.logger is not None:
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getattr(self.logger, level)(message, *args)
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else:
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print(message)
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