مهندسی شیمی ایران

مهندسی شیمی ایران

تخمین عیب در محفظۀ احتراق وکمپرسور توربین‌های گازی صنعتی با روی‌کرد چندمدله

نوع مقاله : مقاله پژوهشی

نویسندگان
1 دانشجوی دکتری مهندسی برق کنترل، دانشگاه صنعتی سهند تبریز
2 استاد تمام مهندسی شیمی، دانشگاه صنعتی سهند تبریز
چکیده
استهلاک یا بروز عیب در اجزای توربین گاز با ایجاد انحرافاتی در متغیرهای کاری آن باعث اختلال در احتراق، کاهش بازده قسمت‌ها، بازدهی کلی، افزایش مصرف سوخت و تولید بیشتر آلاینده‌ها می‌شود. تشخیص این نوع عیوب با سامانه‌‌های مرسوم تشخیص عیب، مقدور نیست و سامانه‌‌های کنترل نیز به‌دلیل رصد محدودۀ نوسانات مشخصه‌‌هایی که بعد از بروز صدمۀ حاصل از عیب ظاهر می‌شوند، در این مقوله چندان مؤثر نیستند. در این مقاله روش جدیدی- که قادر است مقادیر این انحراف‌ها را به‌طور دائم رصد کند و تخمین بزند- ارائه می‌شود تا از گسترش عیب پیش‌گیری شود. این کار برپایۀ استفاده‌از شیوۀ چندمدله با تقسیم فضای کار توربین به بازه‌های کوتاه‌تر و ترکیب مدل‌های خطی مؤثر در فضای محدب برای توسعۀ مدلی دینامیک که رفتار توربین را پوشش می‌دهد، انجام می‌گیرد. با تجزیۀ مانده‌های فیلترها، هم‌زمان تشخیص نقطۀ کار و تخمین به‌هنگام عیوب امکان‌پذیر می‌شود. در انتها با شبیه‌سازی روش در محیط نرم‌افزار متلب1 برروی مشخصات یک توربین صنعتی، کارایی روش بررسی با نتایج رضایت‌بخش حاصل می‌شود.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Estimation of Combustor and Compressor Faults in Industrial Gas Turbines by Using Multiple Model Approach

نویسندگان English

S. Akbarpour 1
M. J. Khosrowjerdi 2
1 Ph. D. Student of Electrical Engineering, Sahand University of Technology
2 Professor of Electrical Engineering, Sahand University of Technology
چکیده English

Degradation due to the long time operation at the gas turbine may cause a fall in the combustor and compressor efficiency and characteristics, which makes a decrease in total efficiency and, an increase in fuel consumption with growth in the production of the pollutants. These phenomena are not distinguishable by conventional diagnostic systems. Although instrumental protection of gas turbine may be profited by the control system but, it depends to components damage result revealation. So, in this research, a special method using the Multiple Model approach, based on multi-operating points is developed to continuously estimation these kinds of faults, to sustain the major defects in an industrial gas turbine. The object is done by defining the main components health indicator variables. First nonlinear thermodynamic static and dynamic models are constructed and linearized. By a combination of those in a dynamic convex set the alternate adaptive model is developed that, could cover the dynamic of the gas turbine. By decoupling the adaptive filter residuals, estimation of the faults and operating point determination are executed. Finally, the efficiency of the proposed approach is demonstrated in a simulation environment.

کلیدواژه‌ها English

Gas Turbine
Combustion Chamber
Fault Detection
Multiple Models
Kalman Filters
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