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UID:1181@cran.univ-lorraine.fr
DTSTART;TZID=Europe/Paris:20260219T140000
DTEND;TZID=Europe/Paris:20260219T150000
DTSTAMP:20260127T091522Z
URL:https://www.cran.univ-lorraine.fr/events/seminaire-de-hiba-houmsi/
SUMMARY:Séminaire de Hiba Houmsi
DESCRIPTION:\n 	Lien visio : Teams\n 	Titre : Embedded Convex Optimizatio
 n for Control of Synchronous Machines\n 	Résumé : This work focuses on 
 the practical implementation of advanced control strategies for permanent-
 magnet synchronous motors (PMSMs)\, specifically covering trajectory gener
 ation\, control law synthesis\, and embedded real-time computation. The wo
 rk is motivated by the need to bring control theory closer to industrial p
 ractice\, particularly in motor drive systems\, by embedding complex algor
 ithms directly into low-cost microcontrollers.\nFirst\, we focus on embedd
 ed control directly into the microcontroller\, to allow fully autonomous a
 nd adaptive motor control without external intervention. This is achieved 
 by designing a lightweight linear matrix inequality (LMI) solver that runs
  as a low priority task alongside the fast control loop. The solver can re
 compute or update the control law during operations\, using minimal comput
 ational resources. This approach is particularly interesting for industria
 l applications\, as it allows real-time adaptation to changing operating c
 onditions or system uncertainties\, without requiring off-line recalibrati
 on or expert tuning. Furthermore\, it enables the deployment of advanced c
 ontrol strategies in cost-sensitive environments where computational power
  is limited. The experimental results confirm the feasibility and effectiv
 eness of this integrated optimization framework.\nSecond\, we explore spee
 d and torque control law synthesis\, with a focus on robust and performanc
 e-guaranteed control strategies. Two approaches are explored. The first is
  a robust H2 state-feedback controller for interior permanent-magnet synch
 ronous motors (IPMSMs) with norm-bounded parametric uncertainties. This me
 thod uses convex optimization via LMI to ensure performance and stability 
 while requiring only a few physically meaningful tuning parameters\, makin
 g it accessible to practitioners. The second approach employs a linearizat
 ion-free controller within a linear parameter-varying (LPV) framework. By 
 formulating a constrained H2 problem with speed-dependent gains and avoidi
 ng exact feedback linearization\, this method improves robustness to measu
 rement noise and cross-coupling effects in IPMSMs. Both control strategies
  are experimentally validated and demonstrate improved performance over tr
 aditional controllers.\nThird\, we address optimal torque control (OTC) pr
 oblem through constrained optimization for two types of machines: surface-
 mounted permanent-magnet synchronous motor (SPMSM) and IPMSM. For the SPMS
 M\, the Karush-Kuhn-Tucker (KKT) approach provides an analytical solution 
 for feedforward optimal current reference generation for SPMSM. The analyt
 ical solution ensures that the voltage\, current\, torque\, and speed cons
 traints are met. Building on this foundation\, we consider the more comple
 x OTC problem for the IPMSM. Due to its non-convex structure including a n
 on-affine equality constraint\, a closed-form analytical solution is not a
 vailable. To address this\, we reformulate the problem through a change of
  variable\, leading to a convex formulation with a single decision variabl
 e. We introduce a formal approach using sum-of-squares (SoS) programming t
 o prove the convexity of OTC formulation for a given motor. This step guar
 antees global optimality and enables the use of efficient real-time embedd
 ed solvers. Finally\, we implement an interior point method to solve the c
 onvex OTC problem for the IPMSM in real time.\nAcross these contributions\
 , a consistent effort is made to experimentally validate the proposed algo
 rithms on available SPMSM and IPMSM test benches.\n
CATEGORIES:Séminaire projet MODELE
LOCATION:CRAN - ENSEM\, 2\, Avenue de la Foret de Haye\, Voandoeuvre-les-Na
 ncy\, 54516\, France
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 aye\, Voandoeuvre-les-Nancy\, 54516\, France;X-APPLE-RADIUS=100;X-TITLE=CR
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DTSTART:20251026T020000
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