Dynamic inversion: an evolving methodology for flight control design

Enns, Dale; Bugajski, Dan; Hendrick, R. C.; Stein, G.

doi:10.1080/00207179408923070

Cited by 383 publications

(167 citation statements)

References 11 publications

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“…If the non-linear system dynamics are available, the DI controller realisation is preferable over a PID realisation. This is because the DI method leads to a closed form solution for the controller, guarantees asymptotic stability of the error dynamics, and is easy to implement online (Enns et al, 1994;Teo et al, 2009).…”

Section: Dynamic Inversion (Di)mentioning

confidence: 99%

Throughput and product quality control for a grinding mill circuit using non-linear MPC

Roux

Olivier

Naidoo

et al. 2016

Journal of Process Control

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A non-linear model-based control architecture for a single-stage grinding mill circuit closed with a hydrocyclone is proposed. The control architecture aims to achieve independent control of circuit throughput and product quality, and consists of a non-linear model predictive controller for grinding mill circuit control, and a dynamic inversion controller to control the fast sump dynamics. A particle filter is used to estimate the mill states, and an algebraic routine is used to estimate the sump states. The observers make use of real-time continuous measurements commonly available on industrial plants. Simulation results show that control objectives can be achieved by the controller despite the presence of measurement noise and disturbances.

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Section: Dynamic Inversion (Di)mentioning

confidence: 99%

Throughput and product quality control for a grinding mill circuit using non-linear MPC

Roux

Olivier

Naidoo

et al. 2016

Journal of Process Control

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“…In order to solve these difficulties, this paper proposes a novel robust nonlinear dynamic inversion (RNDI) control technique. The proposed RNDI method is based on the well-known nonlinear dynamic inversion (NDI) technique requiring no gain-scheduling by means of canceling the original dynamics into the desired one [4]. However, NDI suffers the problem with poor robustness.…”

Section: Introductionmentioning

confidence: 99%

Robust nonlinear dynamic inversion control for electric throttle

Yang

Lee

2011

IEICE Electron. Express

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This paper presents a nonlinear control strategy using robust nonlinear dynamic inversion (RNDI) for an electric throttle which is a dc-motor driven valve for automotive engines. Controlling of the electric throttle is a great challenge due to strong nonlinearities, such as "limp-home" nonlinearity, friction and backlash. In this paper, a novel robust nonlinear dynamic inversion technique is proposed in order to achieve a fast and accurate reference tracking performance even in the presence of highly nonlinear characteristics. The effectiveness of the proposed method is analyzed through computer simulations. Keywords: robust nonlinear dynamic inversion (RNDI), electric throttle, Throttle-by-Wire(TbW) Classification: Science and engineering for electronics References[1] H. T. Dorissen and K. Dürkopp, "Mechatronics and drive-by-wire systems advanced non-contacting position sensors," Control Engineering Practice,

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“…Based on the view of Dale Ennsa [2], prevailing scheme to design the aero-engine control system is based on the divide and conquer approach to many complex engineering tasks. From Andrea Prencipe [3], we know that in the institutes or companies for aero-engine design, the whole complex system will be separated into different parts and there are different groups and companies to design the specified components or subsystems.…”

Section: Introductionmentioning

confidence: 99%

An Investigation of Model-Based Design Framework for Aero-Engine Control Systems

Chen

Wang

et al. 2015

Proceedings of the 2015 Chinese Intelligent Systems Conference

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Abstract:In the whole aero-engine design phase, modeling and simulation technologies have been widely used for supporting the conceptual design and performance design. Due to the increasing complexity of aero-engine systems, there are however new challenges in the areas of quality management and process optimization. In particular, the integrations of various domain physical models for early system quality assessment are becoming a challenging area for the reason of quality management and engineering efficiency. In this paper, we present the initial concepts of a framework based on formal system models for allowing automated management of simulation services in the development of aero-engine systems. We exploit in particular EAST-ADL as the framework for system modeling, which captures the design and implementation of target systems, including the related requirements, constraints, verification and validation cases, etc. With the specification of verification and validation cases as inputs, an additional co-simulation service will provide the support for an automated configuration and execution of simulation tools. Currently, the co-simulation service is specified and managed based on SysML.

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Dynamic inversion: an evolving methodology for flight control design

Cited by 383 publications

References 11 publications

Throughput and product quality control for a grinding mill circuit using non-linear MPC

Throughput and product quality control for a grinding mill circuit using non-linear MPC

Robust nonlinear dynamic inversion control for electric throttle

An Investigation of Model-Based Design Framework for Aero-Engine Control Systems

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