Reduced Order H ∞/ LTR Method for Aeroengine Control System
نویسندگان
چکیده
منابع مشابه
Reduced Order H∞ Synthesis using a Particle Swarm Optimization Method
Abstract: H∞ controller synthesis is a well known design method for which efficient dedicated methods have been developed. However, such methods compute a full order controller which has often to be reduced to be implemented. Indeed, the reduced order H∞ synthesis is a non convex optimization problem due to rank constraints. In this paper, a particle swarm optimization method is used to solve s...
متن کاملActive Suspensions: A Reduced-Order H∞ Control Design Study
This paper studies order reduction issues for a vehicle active suspension system throughout its modelling, H-infinity controller design and controller refinement. Computer simulations demonstrate that an H-infinity controller for a full active suspension can be significantly reduced to nearly one third of its full order, while the active suspension performance is only slightly degraded. As a by...
متن کاملفرآیند کنترل در سیستم کامپیوتری تهویه مطبوع airwasher environmental control system for intelligent buildings
در این پایان نامه با استفاده از تکنولوژی روز و امکانات داخل کشور طریقه اتوماسیون سیستم تاسیساتی یک کارخانه نساجی (کارخانه نساجی اطلس پود) همراه با منوهای مربوطه و توضیحات کامل برنامه نویسی و طراحی بلوک های برنامه و سایر قسمتهای برنامه ارائه گشته است. علاوه بر این، برنامه با نمونه آمریکایی آن مقایسه و مزیت های آن نسبت به آمریکایی توضیح داده شده است. همچنین تمامی بلوک های برنامه بصورت شماتیکی بطو...
15 صفحه اولStochastic Robust Reduced Order H-infinity Observer-based Control
This paper considers robust reduced order H∞ observer-based control for stochastic systems. The approach is divided into two steps. First, we search for a linear control law to ensure H∞ specification. Then, the obtained linear combination of the state is used to solve an “unbiasedness” (decoupling) condition on the drift part of the closed-loop system. Finally, deterministic functional filteri...
متن کاملAdaptive $h$-refinement for reduced-order models
This work presents a method to adaptively refine reduced-order models a posteriori without requiring additional full-order-model solves. The technique is analogous to mesh-adaptive h-refinement: it enriches the reduced-basis space online by ‘splitting’ a given basis vector into several vectors with disjoint support. The splitting scheme is defined by a tree structure constructed offline via rec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Chinese Journal of Aeronautics
سال: 2004
ISSN: 1000-9361
DOI: 10.1016/s1000-9361(11)60226-4