6d19038784
12 pages covering architecture, findings, and metrics from the rotatingMachine + machineGroupControl hardening work: - Overview: node inventory, what works/doesn't, current scale - Architecture: 3D pump curves, group optimization algorithm - Findings: BEP-Gravitation proof (0.1% of optimum), NCog behavior, curve non-convexity, pump switching stability - Metrics: test counts, power comparison table, performance numbers - Knowledge graph: structured YAML with all data points and provenance - Session log: 2026-04-07 production hardening - Tools: query.py, search.sh, lint.sh Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
46 lines
2.1 KiB
Markdown
46 lines
2.1 KiB
Markdown
---
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title: Group Optimization Architecture
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created: 2026-04-07
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updated: 2026-04-07
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status: proven
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tags: [machineGroupControl, optimization, BEP-Gravitation]
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sources: [nodes/machineGroupControl/src/specificClass.js]
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---
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# machineGroupControl Optimization
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## Algorithm: BEP-Gravitation + Marginal-Cost Refinement
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### Step 1 — Pressure Equalization
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Sets all non-operational pumps to the group's max downstream / min upstream pressure. Ensures fair curve evaluation across combinations.
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### Step 2 — Combination Enumeration
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Generates all 2^n pump subsets (n = number of machines). Filters by:
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- Machine state (excludes off, cooling, stopping, emergency)
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- Mode compatibility (`execsequence` allowed in auto)
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- Flow bounds: `sumMinFlow ≤ Qd ≤ sumMaxFlow`
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- Optional power cap
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### Step 3 — BEP-Gravitation Distribution (per combination)
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1. **BEP seed**: `estimatedBEP = minFlow + span * NCog` per pump
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2. **Slope estimation**: samples dP/dQ at BEP ± delta (directional: slopeLeft, slopeRight)
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3. **Slope redistribution**: iteratively shifts flow from steep to flat curves (weight = 1/slope)
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4. **Marginal-cost refinement**: after slope redistribution, shifts flow from highest actual dP/dQ to lowest using real `inputFlowCalcPower` evaluations. Converges regardless of curve convexity. Max 50 iterations, typically 5-15.
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### Step 4 — Best Selection
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Pick combination with lowest total power. Tiebreak by deviation from BEP.
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### Step 5 — Execution
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Start/stop pumps as needed, send `flowmovement` commands in output units via `_canonicalToOutputFlow()`.
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## Three Control Modes
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| Mode | Distribution | Combination Selection |
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|------|-------------|----------------------|
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| optimalControl | BEP-Gravitation + refinement | exhaustive 2^n |
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| priorityControl | equal split, priority-ordered | sequential add/remove |
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| priorityPercentageControl | percentage-based, normalized | count-based |
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## Key Design Decision
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The `flowmovement` command sends flow in the **machine's output units** (m3/h), not canonical (m3/s). The `_canonicalToOutputFlow()` helper converts before sending. Without this conversion, every pump stays at minimum flow (the critical bug fixed on 2026-04-07).
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