Adaptive Fractional-Order IPMSM Speed Control · Field-Weakening Demonstrator
RMSE · Proposed
0.0 rpm
vs reference
RMSE · Std PI
0.0 rpm
baseline
Improvement
0%
RMSE reduction
Overshoot · Prop
0.0%
step transient
Energy index ∫iq²
0 A²s
f₂ objective
Region
MTPA
below base speed
SPEED LOOPSpeed Tracking — Co-Simulationt = 0.00 s
Reference r(t)Proposed (PI-FOPSOFWC)Std PI (Ziegler-Nichols)
uc(t) = Kp(e,ė)·e(t) + Ki(e,ė)·De(t)  →  iq*
CH.4Tracking Error & Lyapunov Bound
e(t) proposedresidual set ±B
V(e)=½Jme²,  V̇ < 0 outside {|e| ≤ B} ⇒ practical UUB
CH.2.8Current Vector — id–iq Plane|is| = 0 A
current limit Imaxvoltage ellipseMTPAoperating trail
CH.3.5Adaptive Fuzzy Gains Kp(t), Ki(t)
Kp(t)Ki(t)
Kp=Kp0pΔKp,  Ki=Ki0iΔKi,   ΔK∈[-1,1] (bounded)
CH.3.4Open-Loop Phase — Iso-Damping
FOPI (λ tunable)Integer PI
d∠L(jω)/dω ≈ 0 near ωc ⇒ phase margin invariant to gain drift
CH.4/5A-MO-FOPSO Pareto Front
Pareto setbest compromiseStd PI
min [ f1=∫t|e|dt  (ITAE),  f2=∫iq²dt  (energy) ]
Self-contained browser simulation of the dissertation model (IPMSM parameters per Table 2.3: Rs=0.05Ω, Ld=0.4 mH, Lq=0.8 mH, ψf=0.08 Wb, p=4, Jm=0.01 kg·m², Vdc=360 V, Imax=250 A). Fractional integrator s−λ realized as a true integrator cascaded with an Oustaloup recursive approximation (N=5) of s(1−λ), normalized to unit gain at the loop crossover — the Oustaloup method deployed in the dissertation. Figures are illustrative of the closed-loop behaviour, not a substitute for the full MATLAB/Simulink–CarSim co-simulation. © 2026 norxs Technology LLC.