brentperteet
8e51d36a96
- Add comprehensive .gitignore for Python, Flask, IDE, and project-specific files - Include test_optimizer.py - Update Claude settings and windings preset configuration 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
91 lines
2.8 KiB
Python
91 lines
2.8 KiB
Python
from model import TransformerModel
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from optimizer import TransformerOptimizer
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# Create the same transformer as in app.py
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primary_taps = [0, 75, 75]
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secondary_taps = [0, 100, 150, 150, 150]
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primary_Rp_per_turn = [0.01, 0.01]
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secondary_Rs_per_turn = [0.004, 0.024, 0.024, 0.024]
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tf = TransformerModel(
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Ae_mm2=354.0,
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Ve_mm3=43900.0,
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use_core_loss_model=True,
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Np_total=150,
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Ns_total=250,
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primary_taps=primary_taps,
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secondary_taps=secondary_taps,
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primary_Rp_per_turn=primary_Rp_per_turn,
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secondary_Rs_per_turn=secondary_Rs_per_turn,
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)
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# Test case: 300Hz, 10ohm, 25W target
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print("Testing with B_max_T=0.3T:")
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opt = TransformerOptimizer(tf)
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result = opt.optimize(
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load_ohms=10.0,
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target_power_W=25.0,
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freq_hz=300.0,
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Vp_min=5.0,
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Vp_max=50.0,
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Vp_step=0.5,
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B_max_T=0.3,
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Vs_max=200.0,
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core_loss_W=0.0,
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power_tolerance_percent=2.0,
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)
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if result:
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print(f"Optimizer result:")
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print(f" Primary tap: {result.primary_tap}, Secondary tap: {result.secondary_tap}")
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print(f" Vp_rms: {result.Vp_rms:.2f}V")
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print(f" Efficiency: {result.efficiency*100:.2f}%")
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print(f" Power out: {result.P_out_W:.2f}W")
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print(f" B_peak: {result.B_peak_T:.4f}T")
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print()
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print("\nTesting with B_max_T=0.35T:")
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result2 = opt.optimize(
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load_ohms=10.0,
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target_power_W=25.0,
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freq_hz=300.0,
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Vp_min=5.0,
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Vp_max=50.0,
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Vp_step=0.5,
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B_max_T=0.35,
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Vs_max=200.0,
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core_loss_W=0.0,
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power_tolerance_percent=2.0,
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)
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if result2:
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print(f"Optimizer result:")
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print(f" Primary tap: {result2.primary_tap}, Secondary tap: {result2.secondary_tap}")
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print(f" Vp_rms: {result2.Vp_rms:.2f}V")
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print(f" Efficiency: {result2.efficiency*100:.2f}%")
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print(f" Power out: {result2.P_out_W:.2f}W")
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print(f" B_peak: {result2.B_peak_T:.4f}T")
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print()
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# Now try manual settings to see what 85% efficiency looks like
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print("Manual test - trying different tap combinations:")
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for p_tap in [1, 2]:
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for s_tap in [1, 2, 3, 4]:
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for Vp in range(5, 51, 1): # 5V to 50V in 1V steps
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try:
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sim = tf.simulate(
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primary_tap=p_tap,
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secondary_tap=s_tap,
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Vp_rms=Vp,
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freq_hz=300.0,
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load_ohms=10.0,
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)
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eff_pct = sim['efficiency'] * 100
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if sim['P_out_W'] >= 20 and sim['P_out_W'] <= 30: # Close to target
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print(f" p={p_tap}, s={s_tap}, Vp={Vp}V: Pout={sim['P_out_W']:.1f}W, eff={eff_pct:.1f}%, B={sim['B_peak_T']:.4f}T, Pcore={sim['P_core_W']:.2f}W, Pcu={sim['P_cu_W']:.2f}W")
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except Exception as e:
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pass
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else:
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print("No solution found!")
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