bætti við prentskipunum til þess að geta plottað step response
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@@ -9,6 +9,15 @@
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class State;
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// Gildi úr einni keyrslu á hraðastýringunni, til útprentunar
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struct ControlSample
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{
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double ref_rpm;
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double actual_rpm;
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double pwm_actual;
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};
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class MotorController
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{
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private:
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@@ -60,7 +69,8 @@ public:
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bool fault_active();
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void run_speed_controller();
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// Skilar true ef ný mæling var tekin og sample fyllt út
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bool run_speed_controller(ControlSample& sample);
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void stop_motor();
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@@ -3,9 +3,17 @@
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#include "state.h"
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#include <stdint.h>
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class OperationalState : public State
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{
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private:
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static constexpr double SAMPLE_PERIOD_MS = 4.0;
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// uint32_t svo teljarinn flæði ekki yfir eftir ~4 mín (eins og uint16_t)
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uint32_t sample_count = 0;
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public:
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void enter() override;
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@@ -1,11 +1,16 @@
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#!/usr/bin/env python3
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"""
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Teiknar step response-plott ur CSV-gognum sem Arduino-verkefnid prentar ut
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(dalkar: time_ms, ref_rpm, actual_rpm, pwm_requested, pwm_actual).
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i Operational state (dalkar: time_ms, ref_rpm, actual_rpm, pwm_actual).
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pwm_requested = Kp * error * 2.55, oklippt (getur farid langt yfir +-255)
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pwm_actual = sama gildi en klippt vid +-255, þ.e. þad sem raunverulega
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var sent a motor.set() / vélbúnaðinn
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pwm_actual = stýrimerkid klippt vid +-255, þ.e. þad sem raunverulega
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var sent a motor.set() / vélbúnaðinn
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Hausinn er prentadur i hvert skipti sem farid er inn i Operational, svo ein
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skra getur innihaldid nokkrar keyrslur. Adeins sidasta keyrslan er teiknud.
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Skriptan metur lika sveiflutima (Tu) og utslag ef kerfid sveiflast, sem
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nytist til ad finna Ku/Tu fyrir Ziegler-Nichols.
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Notkun:
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python plot_step_response.py [inntak.csv] [uttak.png] [titill]
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@@ -14,32 +19,83 @@ Sjalfgefid: data/step_response.csv -> data/step_response.png
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"""
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import sys
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import csv
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import statistics
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import matplotlib.pyplot as plt
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COLUMNS = ["time_ms", "ref_rpm", "actual_rpm", "pwm_actual"]
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def empty_cols():
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return {key: [] for key in COLUMNS}
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def load_csv(path):
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cols = {"time_ms": [], "ref_rpm": [], "actual_rpm": [],
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"pwm_requested": [], "pwm_actual": []}
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cols = empty_cols()
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header = None
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with open(path, newline="") as f:
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reader = csv.DictReader(f)
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for row in reader:
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try:
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for key in cols:
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cols[key].append(float(row[key]))
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except (ValueError, KeyError):
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# sleppir linum sem eru ekki gild data (t.d. rusl fyrir/eftir)
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for key in cols:
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if len(cols[key]) > len(cols["time_ms"]):
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cols[key].pop()
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for row in csv.reader(f):
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if row and row[0].strip() == "time_ms":
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header = [name.strip() for name in row]
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continue
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if header is None:
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# rusl a undan fyrsta haus (t.d. "State: Initialization")
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continue
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try:
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values = {key: float(row[header.index(key)])
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for key in COLUMNS}
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except (ValueError, IndexError):
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# sleppir linum sem eru ekki gild data (t.d. "State: ...")
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continue
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# Timinn byrjar aftur a 0 -> ny keyrsla, hendum theirri gomlu
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if cols["time_ms"] and values["time_ms"] <= cols["time_ms"][-1]:
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cols = empty_cols()
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for key in COLUMNS:
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cols[key].append(values[key])
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return cols
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def estimate_oscillation(time_s, actual_rpm):
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"""
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Metur sveiflutima ut fra uppleid i gegnum medaltal seinni helmings
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gagnanna (fyrri helmingur er transient). Hysteresis kemur i veg fyrir
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ad sudid i rpm-maelingunni gefi falskar skurdpunkta.
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Skilar (Tu [s], utslag [rpm]) eda None ef engin skyr sveifla.
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"""
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half = len(actual_rpm) // 2
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t = time_s[half:]
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y = actual_rpm[half:]
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if len(y) < 20:
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return None
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mean = statistics.fmean(y)
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band = 0.25 * statistics.pstdev(y)
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if band == 0:
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return None
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crossings = []
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below = y[0] < mean - band
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for ti, yi in zip(t, y):
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if below and yi > mean + band:
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crossings.append(ti)
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below = False
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elif not below and yi < mean - band:
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below = True
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if len(crossings) < 3:
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return None
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periods = [b - a for a, b in zip(crossings, crossings[1:])]
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amplitude = (max(y) - min(y)) / 2.0
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return statistics.fmean(periods), amplitude
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def plot(cols, out_path, title_suffix=""):
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time_s = [t / 1000.0 for t in cols["time_ms"]]
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ref_rpm = cols["ref_rpm"]
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actual_rpm = cols["actual_rpm"]
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pwm_requested = cols["pwm_requested"]
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pwm_actual = cols["pwm_actual"]
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fig, ax1 = plt.subplots(figsize=(10, 5))
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@@ -53,8 +109,6 @@ def plot(cols, out_path, title_suffix=""):
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ax1.grid(True, alpha=0.3)
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ax2 = ax1.twinx()
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ax2.plot(time_s, pwm_requested, label="PWM requested (unclamped)",
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color="#d62728", linewidth=1.0, alpha=0.5, linestyle=":")
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ax2.plot(time_s, pwm_actual, label="PWM actual (clamped)",
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color="#d62728", linewidth=1.4)
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ax2.axhline(255, color="#d62728", linewidth=0.6, alpha=0.3)
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@@ -69,12 +123,23 @@ def plot(cols, out_path, title_suffix=""):
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ax1.text(time_s[step_idx], max(actual_rpm) * 1.02, " step",
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fontsize=9, va="bottom")
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osc = estimate_oscillation(time_s, actual_rpm)
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if osc is not None:
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tu, amplitude = osc
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print(f"Sveifla: Tu = {tu * 1000:.1f} ms, utslag = +-{amplitude:.2f} RPM")
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ax1.text(0.01, 0.98, f"Tu ≈ {tu * 1000:.1f} ms\n"
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f"amplitude ≈ ±{amplitude:.2f} RPM",
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transform=ax1.transAxes, fontsize=9, va="top",
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bbox=dict(facecolor="white", alpha=0.8, edgecolor="#cccccc"))
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else:
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print("Engin skyr sveifla fannst i seinni helmingi gagnanna")
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lines1, labels1 = ax1.get_legend_handles_labels()
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lines2, labels2 = ax2.get_legend_handles_labels()
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ax1.legend(lines1 + lines2, labels1 + labels2, loc="lower right",
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fontsize=8)
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title = "Double step response: RPM and PWM over time"
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title = "Step response: RPM and PWM over time"
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if title_suffix:
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title += f" ({title_suffix})"
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fig.suptitle(title)
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@@ -84,8 +149,10 @@ def plot(cols, out_path, title_suffix=""):
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if __name__ == "__main__":
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in_path = sys.argv[1] if len(sys.argv) > 1 else "data/twostep.csv"
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out_path = sys.argv[2] if len(sys.argv) > 2 else "data/twostep.png"
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in_path = sys.argv[1] if len(sys.argv) > 1 else "data/step_response.csv"
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out_path = sys.argv[2] if len(sys.argv) > 2 else "data/step_response.png"
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title_suffix = sys.argv[3] if len(sys.argv) > 3 else ""
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data = load_csv(in_path)
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if not data["time_ms"]:
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sys.exit(f"Engin gogn fundust i {in_path}")
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plot(data, out_path, title_suffix)
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+3
-3
@@ -19,9 +19,9 @@ RotaryEncoderDriver encoder;
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MotorDriver motor;
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const double Kp = 12.5;
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const double Ti = 1.0;
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const double T = 0.004;
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const double Kp = 45.0; // Ziegler-Nichols Method 45.0
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const double Ti = 0.0; // 0.226
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const double T = 0.0; // 0.004
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// P_controller controller(Kp);
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PI_controller controller(Kp, Ti, T);
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+30
-11
@@ -92,20 +92,39 @@ void MotorController::to_operational()
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}
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void MotorController::run_speed_controller()
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bool MotorController::run_speed_controller(ControlSample& sample)
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{
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if (encoder.new_speed_available())
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if (!encoder.new_speed_available())
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{
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double actual = encoder.rpm();
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double pwm_percent =
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controller.update(reference_rpm, actual);
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double pwm =
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pwm_percent * PWM_PER_PERCENT;
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motor.set(pwm);
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return false;
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}
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double actual = encoder.rpm();
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double pwm_percent =
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controller.update(reference_rpm, actual);
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double pwm =
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pwm_percent * PWM_PER_PERCENT;
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// Klippt hér svo pwm_actual sé nákvæmlega það sem fer á mótorinn
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if (pwm > 255.0)
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{
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pwm = 255.0;
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}
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if (pwm < -255.0)
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{
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pwm = -255.0;
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}
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motor.set(pwm);
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sample.ref_rpm = reference_rpm;
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sample.actual_rpm = actual;
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sample.pwm_actual = pwm;
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return true;
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}
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@@ -11,6 +11,11 @@ void OperationalState::enter()
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context->reset_controller();
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context->led_on();
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// Tíminn byrjar á 0 í hvert skipti sem farið er inn í Operational
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sample_count = 0;
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Serial.println("time_ms,ref_rpm,actual_rpm,pwm");
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}
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// Part 1
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@@ -33,7 +38,20 @@ void OperationalState::update()
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return;
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}
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context->run_speed_controller();
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ControlSample sample;
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if (context->run_speed_controller(sample))
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{
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sample_count++;
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Serial.print(sample_count * SAMPLE_PERIOD_MS, 1);
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Serial.print(",");
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Serial.print(sample.ref_rpm, 1);
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Serial.print(",");
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Serial.print(sample.actual_rpm, 2);
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Serial.print(",");
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Serial.println(sample.pwm_actual, 1);
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}
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}
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