Wide-range model predictive control for aero-engine transient state
2
TL;DR: In this paper , a wide-range model predictive controller with a three-layer nested structure is presented, which consists of univariate controller, nominal point controller, and wide range controller from inside to outside.
read more
About: This article is published in Chinese Journal of Aeronautics. The article was published on 01 Jul 2022. and is currently open access. The article focuses on the topics: Controller (irrigation) & Control theory (sociology).
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Turbo-fan engine acceleration control schedule optimization based on DNN-LPV model
TL;DR: In this article , an online data-driven linear parameter varying model based on a special structure deep neural network (DNN) is proposed to establish the predictive model to ensure prediction accuracy and modeling efficiency.
18
Deep reinforcement learning method for turbofan engine acceleration optimization problem within full flight envelope
TL;DR: In this paper , a design method of aeroengine full-envelope acceleration controller based on deep reinforcement learning is proposed, where the flight envelope is divided into regions by clustering to reduce the span of data changes.
References
Data clustering: 50 years beyond K-means
Anil K. Jain
- 01 Jun 2010
TL;DR: A brief overview of clustering is provided, well known clustering methods are summarized, the major challenges and key issues in designing clustering algorithms are discussed, and some of the emerging and useful research directions are pointed out.
8.4K
The global k-means clustering algorithm
TL;DR: The global k-means algorithm is presented which is an incremental approach to clustering that dynamically adds one cluster center at a time through a deterministic global search procedure consisting of N executions of the k-Means algorithm from suitable initial positions.
3.6K
A Computationally Efficient Feasible Sequential Quadratic Programming Algorithm
Craig T. Lawrence,André L. Tits +1 more
TL;DR: A sequential quadratic programming (SQP) algorithm generating feasible iterates is described and analyzed, with a reduction in the amount of computation required to generate a new iterate while the proposed scheme still enjoys the same global and fast local convergence properties.
SQP-methods for solving optimal control problems with control and state constraints: adjoint variables, sensitivity analysis and real-time control
Christof Böskens,Helmut Maurer +1 more
TL;DR: In this article, two discretization methods are discussed that transcribe optimal control problems into nonlinear programming problems for which SQP-methods provide efficient solution methods, which can be used also for a check of second-order sufficient conditions and for a post-optimal calculation of adjoint variables.
311
Control of jet engines
H. Austin Spang,Harold Brown +1 more
TL;DR: In this article, the basics of controlling an engine while satisfying numerous constraints are reviewed in terms of the basic principles and limitations for each component and the overall control requirements and typical sensors and actuators.
184