132 lines
3.9 KiB
Rust
132 lines
3.9 KiB
Rust
//! Integration tests for Inverse Calibration (Story 5.5).
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//!
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//! Tests cover:
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//! - AC: Components can dynamically read calibration factors (e.g. f_m, f_ua) from SystemState.
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//! - AC: The solver successfully optimizes these calibration factors to meet constraints.
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use entropyk_components::{Component, ComponentError, ConnectedPort, JacobianBuilder, ResidualVector, SystemState};
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use entropyk_core::CalibIndices;
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use entropyk_solver::{
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System, NewtonConfig, Solver,
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inverse::{
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BoundedVariable, BoundedVariableId, Constraint, ConstraintId, ComponentOutput,
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},
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};
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/// A mock component that simulates a heat exchanger whose capacity depends on `f_ua`.
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struct MockCalibratedComponent {
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calib_indices: CalibIndices,
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}
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impl Component for MockCalibratedComponent {
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fn compute_residuals(
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&self,
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state: &SystemState,
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residuals: &mut ResidualVector,
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) -> Result<(), ComponentError> {
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// Fix the edge states to a known value
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residuals[0] = state[0] - 300.0;
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residuals[1] = state[1] - 400.0;
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Ok(())
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}
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fn jacobian_entries(
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&self,
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_state: &SystemState,
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jacobian: &mut JacobianBuilder,
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) -> Result<(), ComponentError> {
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// d(r0)/d(state[0]) = 1.0
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jacobian.add_entry(0, 0, 1.0);
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// d(r1)/d(state[1]) = 1.0
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jacobian.add_entry(1, 1, 1.0);
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// No dependence of physical equations on f_ua
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Ok(())
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}
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fn n_equations(&self) -> usize {
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2 // balances 2 edge variables
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}
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fn get_ports(&self) -> &[ConnectedPort] {
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&[]
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}
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fn set_calib_indices(&mut self, indices: CalibIndices) {
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self.calib_indices = indices;
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}
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}
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#[test]
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fn test_inverse_calibration_f_ua() {
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let mut sys = System::new();
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// Create a mock component
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let mock = Box::new(MockCalibratedComponent {
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calib_indices: CalibIndices::default(),
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});
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let comp_id = sys.add_component(mock);
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sys.register_component_name("evaporator", comp_id);
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// Add a self-edge just to simulate some connections
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sys.add_edge(comp_id, comp_id).unwrap();
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// We want the capacity to be exactly 4015 W.
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// The mocked math in System::extract_constraint_values_with_controls:
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// Capacity = state[1] * 10.0 + f_ua * 10.0 (primary effect)
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// We fixed state[1] to 400.0, so:
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// 400.0 * 10.0 + f_ua * 10.0 = 4015
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// 4000.0 + 10.0 * f_ua = 4015
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// 10.0 * f_ua = 15.0
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// f_ua = 1.5
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sys.add_constraint(Constraint::new(
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ConstraintId::new("capacity_control"),
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ComponentOutput::Capacity {
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component_id: "evaporator".to_string(),
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},
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4015.0,
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)).unwrap();
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// Bounded variable (the calibration factor f_ua)
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let bv = BoundedVariable::with_component(
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BoundedVariableId::new("f_ua"),
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"evaporator",
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1.0, // initial
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0.1, // min
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10.0 // max
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).unwrap();
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sys.add_bounded_variable(bv).unwrap();
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// Link constraint to control
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sys.link_constraint_to_control(
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&ConstraintId::new("capacity_control"),
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&BoundedVariableId::new("f_ua")
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).unwrap();
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sys.finalize().unwrap();
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// Verify that the validation passes
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assert!(sys.validate_inverse_control_dof().is_ok());
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let initial_state = vec![0.0; sys.full_state_vector_len()];
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// Use NewtonRaphson
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let mut solver = NewtonConfig::default().with_initial_state(initial_state);
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let result = solver.solve(&mut sys);
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// Should converge quickly
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assert!(dbg!(&result).is_ok());
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let converged = result.unwrap();
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// The control variable `f_ua` is at the end of the state vector
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let f_ua_idx = sys.full_state_vector_len() - 1;
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let final_f_ua: f64 = converged.state[f_ua_idx];
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// Target f_ua = 1.5
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let abs_diff = (final_f_ua - 1.5_f64).abs();
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assert!(abs_diff < 1e-4, "f_ua should converge to 1.5, got {}", final_f_ua);
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}
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