Dane Sabo d2997c2861 plant-model: add shutdown/heatup/scram controllers and LQR, linearize
Fill out the DRC mode set with ctrl_shutdown (u = -5*beta), ctrl_scram
(u = -8*beta), and ctrl_heatup (feedback-linearizing P on ramped T_avg
reference, saturated u, no integrator). Add ctrl_operation_lqr as a
full-state-feedback counterpart to ctrl_operation — K cached, closed-loop
essentially perfect under the 100%->80% Q_sg step where plain P has ~5F
overshoot.

Add pke_linearize for numerical (A, B, B_w) Jacobians at any operating
point; test_linearize confirms ~4e-4 rel err vs nonlinear sim for a
5% Q_sg step. Extend pke_solver with an optional x0 argument so each
mode can start from a plausible IC.

main_mode_sweep.m exercises all five modes back-to-back and saves the
4-panel plots. CLAUDE.md updated with model-validity-range note (trust
region is ~+/-50C around operating point; true cold shutdown is out of
scope for the linear feedback coefficients).

Hacker-Split: build out control layer end-to-end for reachability.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-17 12:52:03 -04:00

58 lines
2.3 KiB
Matlab

function u = ctrl_heatup(t, x, plant, ref)
% CTRL_HEATUP Ramp T_avg toward a target at a bounded rate.
%
% Structure:
% u_ff = -alpha_f*(T_f - T_f0) - alpha_c*(T_c - T_c0) % cancel feedback
% T_ref = min(ref.T_start + ref.ramp_rate * t, ref.T_target) % ramped reference
% u_unsat = u_ff + Kp * (T_ref - T_avg) % P on error
% u = sat(u_unsat, ref.u_min, ref.u_max) % bounded rod worth
%
% Why saturation:
% Without it the P gain can push u toward prompt-supercritical as the
% cold-hot feedback bias unwinds late in the ramp. Capping u at
% +0.5*beta guarantees rho_total < beta (below prompt), which in
% turn bounds the neutron-kinetics excursion rate for reachability.
%
% Why no integrator:
% Ramp tracking has a structural lag proportional to ramp_rate / Kp_eff.
% Acceptable because the DRC exits heatup on a predicate window
% (t_avg_in_range & p_above_crit), not on zero steady-state error.
% Adding PI would double-count the intrinsic plant integrator
% (thermal mass) and make anti-windup a hybrid transition.
%
% Inputs:
% t - time [s]
% x - state vector (10 x 1)
% plant - parameter struct (alpha_f, alpha_c, T_f0, T_c0 used)
% ref - struct with fields:
% .T_start starting T_avg [C]
% .T_target final T_avg [C]
% .ramp_rate desired dT_avg/dt [C/s]
% .u_min (optional) lower saturation [dk/k]; default -5*beta
% .u_max (optional) upper saturation [dk/k]; default +0.5*beta
Kp = 1e-4; % [dk/k per K]
T_f = x(8);
T_c = x(9);
T_avg = T_c;
% Feedforward: cancel intrinsic temperature feedback so rho_total = Kp*e
% (before saturation).
u_ff = -plant.alpha_f * (T_f - plant.T_f0) ...
-plant.alpha_c * (T_avg - plant.T_c0);
% Ramped reference, clamped at target.
T_ref = min(ref.T_start + ref.ramp_rate * t, ref.T_target);
e = T_ref - T_avg;
u_unsat = u_ff + Kp * e;
% Saturation bounds (defaults keep rod worth subcritical-prompt).
if isfield(ref, 'u_min'), u_min = ref.u_min; else, u_min = -5 * plant.beta; end
if isfield(ref, 'u_max'), u_max = ref.u_max; else, u_max = 0.5 * plant.beta; end
u = min(max(u_unsat, u_min), u_max);
end