Variable-speed induction motor drives spend most of their service life at partial load, where rated-flux field-oriented control (FOC) is inefficient and where loss-minimizing control (LMC) recovers a large part of the loss. LMC, however, is brittle in two ways that matter in industry: it is tuned isothermally, so as the windings heat, the rotor-resistance drift detunes the field orientation and corrupts torque; and it treats the loss-optimal flux as a quasi-static set-point, so an abrupt load rise from a light-load, low-flux condition forces a slow flux rebuild that throttles torque. This paper proposes a thermally adaptive economic model predictive controller (TA-EMPC) that retains the energy optimum of LMC while removing both weaknesses. A temperature-coupled total-loss model (machine copper and core loss plus inverter conduction and switching loss) is minimized over a finite horizon subject to a torque-delivery constraint; a reduced-order two-node thermal observer updates the loss-defining resistances online without a temperature sensor; and a load-demand-aware flux-reservation term pre-magnetizes the machine ahead of anticipated torque rises. In simulations on a representative 7.5 kW drive, TA-EMPC matched the energy of static LMC to within 0.3% across pump, conveyor, and fast-cycling duty profiles—both saving 1.4–2.3% of cycle energy relative to rated-flux FOC, and up to about 14.7 efficiency points at very light load—while, unlike LMC, holding the steady torque error below 0.5% when the winding temperature rose by about 95 °C, to a hot steady state near 115 °C (a stator-resistance increase of roughly 37%) (against an 8% error for the non-adaptive scheme) and reducing the torque undershoot during a light-to-heavy load step from about 23% to near zero. All quantitative results reported in this work are obtained entirely in simulation. A per-step operation-count analysis—not an on-target timing measurement—indicates that the condensed quadratic-program formulation with move blocking is executable within the 100 µs sampling interval on a production digital signal controller for the chosen control horizon; experimental validation on a loaded dynamometer bench, together with on-target timing measurement, is identified as future work. The contribution is thus energy-efficient operation delivered with the torque robustness that loss minimization alone does not provide.

Variable-speed induction motor drives spend most of their service life at partial load, where rated-flux field-oriented control (FOC) is inefficient and where loss-minimizing control (LMC) recovers a large part of the loss. LMC, however, is brittle in two ways that matter in industry: it is tuned isothermally, so as the windings heat the rotor-resistance drift detunes the field orientation and corrupts torque; and it treats the loss-optimal flux as a quasi-static set-point, so an abrupt load rise from a light-load, low-flux condition forces a slow flux rebuild that throttles torque. This paper proposes a thermally-adaptive economic model predictive controller (TA-EMPC) that retains the energy optimum of LMC while removing both weaknesses. A temperature-coupled total-loss model (machine copper and core loss plus inverter conduction and switching loss) is minimized over a finite horizon subject to a torque-delivery constraint; a reduced-order two-node thermal observer updates the loss-defining resistances online without a temperature sensor; and a load-demand-aware flux-reservation term pre-magnetizes the machine ahead of anticipated torque rises. In simulation on a representative 7.5 kW drive, TA-EMPC matched the energy of static LMC to within 0.3% across pump, conveyor, and fast-cycling duty profiles—both saving 1.4–2.3% of cycle energy relative to rated-flux FOC, and up to about 14 efficiency points at very light load—while, unlike LMC, holding the steady torque error below 0.5% when the winding temperature rose to about 90 °C (a resistance increase of roughly 26%) (against an 8% error for the non-adaptive scheme) and reducing the torque undershoot during a light-to-heavy load step from about 23% to near zero. An operation-count analysis indicates that the condensed quadratic-program formulation with move blocking is executable within the 100 µs sampling interval on a production digital signal controller for the chosen control horizon (analytical estimate; on-target measurement is future work). The contribution is thus energy-efficient operation delivered with the torque robustness that loss minimization alone does not provide.

Maqola nasos stansiyalarining energiya samaradorligini oshirish bo‘yicha zamonaviy yondashuvlarning kompleks tahliliga bag‘ishlangan bo‘lib, unda chastota o‘zgartirgichlar, noaniq mantiq algoritmlari va SCADA tizimlarining integratsiyasi ko‘rib chiqiladi. Tadqiqot chastotali boshqaruvning o‘zgaruvchan yuklama sharoitlarida energiya sarfini optimallashtirish qobiliyati, noaniq mantiqning murakkab va noaniq tizimlarni boshqarishdagi moslashuvchanligi hamda SCADA tizimlarining real vaqtda monitoring va masofadan boshqaruv imkoniyatlarini ta’kidlaydi. Nazariy modellashtirish, amaliy ma’lumotlar va texnik-iqtisodiy tahlil asosida ko‘rsatilganki, taklif qilingan yechimlar energiya sarfini 20-45% ga kamaytirish, tizimning ishonchliligini oshirish va uskuna xizmat muddatini uzaytirish imkonini beradi. Ishda integratsiyalangan texnologiyalarni joriy qilish bo‘yicha amaliy tavsiyalar berilgan va ularning nasos stansiyalarini avtomatlashtirish va optimallashtirishdagi potensiali ta’kidlangan. Usul va materiallar. Ushbu tadqiqot mavjud ilmiy manbalar, texnik hisobotlar va xalqaro tajribalar tahliliga asoslangan. Adabiyotlarda keltirilgan natijalar solishtirildi, nasos tizimlari samaradorligi bo‘yicha umumlashtirilgan ko‘rsatkichlar hisoblab chiqildi va ular integratsiyalashgan boshqaruv yondashuvlari bilan qiyoslandi. Natijalar. O‘tkazilgan tahlillar shuni ko‘rsatdiki, NM, ChO‘ va SCADA integratsiyasi an’anaviy boshqaruvga nisbatan energiya sarfini 35-40% gacha kamaytiradi, tizim samaradorligini 70% dan 75-80% gacha oshiradi hamda ekspluatatsiya xarajatlarini sezilarli qisqartiradi. Xulosa. Tadqiqot natijalari shuni ko‘rsatadiki, nasos stansiyalarida NM, ChO‘ va SCADA integratsiyasi energiya samaradorligini oshirishning eng samarali yondashuvi hisoblanadi. Bu tizim energiya sarfini kamaytiradi, FIKni yaxshilaydi va ekspluatatsiya xarajatlarini qisqartiradi. Integratsiyalangan boshqaruv suv ta’minoti tizimlarida barqarorlik va tejamkorlikni ta’minlashda muhim ahamiyatga ega.

Off-grid pumping stations with photovoltaic (PV) generation, a battery and an elevated tank are usually dispatched by level and state-of-charge rules, and the induction motor drive is treated as a load of constant efficiency. This study formulates a supervisory thermally aware economic model predictive controller (TA-EMPC-S) that schedules battery power, PV curtailment and pump duty together with pump speed, rotor flux and a two-node motor thermal state, and that prices pump starts. A simulated 7.5 kW station was operated over four one-week scenarios by TA-EMPC-S, simpler EMPC variants, a level-control rule and a tuned PV-following variable-speed rule (RB-VFD). Against RB-VFD, TA-EMPC-S reduced unserved demand by 39.3% in a heat wave with an overcast spell and by 48.9% on average over 20 realizations with forecast errors, and it was the only strategy without thermal derating when motor cooling was degraded, even with an erroneous cooling model. In a sunny week it cut battery throughput by 14.2% but started the pump more often. Variable speed and anticipation produced most of the benefit, whereas flux optimization changed the specific energy by less than 1%.