YIRIK IRRIGATSION KANALLARDA NOSTATSIONAR SUV OQIMINI ADAPTIV OPTIMAL BOSHQARISH UCHUN FIZIK CHEKLOVLARGA ASOSLANGAN CHUQUR REINFORCEMENT LEARNING USULI
Qabul qilingan: 2026-07-15 14:05:56
Nashr etilgan: 2026-04-18
Annotatsiya
Yirik irrigatsion kanallarda suv resurslarini samarali boshqarish barqaror qishloq xo‘jaligi ishlab chiqarishini ta’minlashda muhim ahamiyatga ega. Biroq uzun irrigatsion tarmoqlarda suv oqimini boshqarish nolinear gidravlik dinamika, vaqt kechikishlari va tashqi ta’sirlar sababli murakkablashadi. Ushbu tadqiqotda irrigatsion kanallarda nostatsionar oqimni adaptiv optimal boshqarish uchun fizik cheklovlarga asoslangan chuqur mustahkamlash orqali o‘rganish modeli taklif etiladi. Taklif etilgan yondashuv Saint-Venant tenglamalaridan olingan gidravlik bilimlarni mustahkamlash orqali o‘rganish algoritmlari bilan birlashtirib, fizik jihatdan mos boshqaruv qarorlarini ta’minlaydi. Kanal dinamikasini aks ettiruvchi simulyatsiya muhiti gidrotexnik zatvorlar ishini boshqaruvchi intellektual agentni o‘qitish uchun qo‘llanildi. O‘rganish jarayoni gidravlik tenglamalar bilan cheklanishi natijasida tizimning realistik va barqaror ishlashi ta’minlanadi. Olingan natijalar taklif etilgan yondashuv turli ekspluatatsiya sharoitlarida suv oqimini boshqarish aniqligi va tizimning moslashuvchanligini oshirishini ko‘rsatdi.
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