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Youla Parameterization Based control Performance Degradation Online Recovery of Single Inverter control systems in Microgrids: a PnP Approach

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IFAC-PapersOnLine 2020年第2期53卷 12080-12085页

作者： Y. Liu C. Hu H. Lu S.X. Ding L. Li X. Peng Y. Wang Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarkstr. 81 BB 47057 Duisburg Germany College of Electrical and Control Engineering North China University of Technology 100144 Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology200237 Shanghai China

In an inverter control system of smart microgrids, the control performance degradation due to load fluctuations, unbalanced loads and other factors, is one of the considerable factors affecting the output power quality. In this paper, a plug-and-play (PnP) technology based on Youla parameterization is proposed to achieve system performance recovery without modifying the existing controller. By ‘plugging-in’ a residual generator and a compensator, a dynamic feed-back of residual signals is embedded into the original inverter control system. In order to realize PnP, an online parameter estimation scheme of the compensator is developed. Finally, an inverter control system is applied to show the effectiveness of the proposed approach.

关键词： Youla parameterization performance degradation online recovery power quality microgrids

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Nonlinearity Measures for Distributed Parameter and Descriptor systems

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IFAC-PapersOnLine 2020年第2期53卷 7545-7550页

作者： Pedro Reyero-Santiago Carlos Ocampo-Martinez Rolf Findeisen Richard D. Braatz Automatic Control Department Universitat Politècnica de Catalunya Institut de Robòtica i Informàtica Industrial (CSIC-UPC) 08028 Barcelona Spain Institute for Automation Engineering (IFAT) Laboratory for Systems Theory and Automatic Control Otto-von-Guericke Universität Magdeburg 39106 Magdeburg Germany Massachusetts Institute of Technology Room E19-551 77 Massachusetts Avenue Cambridge MA 02139 USA

control design and state estimation are usually more straightforward for linear than for nonlinear dynamical systems, which has motivated the development of methods for quantifying the extent of nonlinearity in dynamical systems. Although many well-defined methods have been proposed for systems described by ordinary differential equations, such methods are not as well explored for dynamical systems described by PDEs and descriptor systems that represent most chemical processes. This paper reviews, discusses, and compares methods for the definition and computation of nonlinearity measures. The measures are categorized in terms of open- vs. closed-loop control topologies, theoretical vs. numerically computed, state transformation dependency, input scaling dependency, linearization vs. optimized linear modeling vs. average linear modeling, applicability to unstable dynamical systems, and applicability to the right-hand side of the state equation or to input-output relationships. Then extensions of the nonlinearity measures are discussed for hybrid systems and those described by coupled differential, integral, and algebraic equations, often referred to as descriptor/singular systems.

关键词： nonlinear systems process control nonlinear measures descriptor systems distributed parameter systems

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Regret and cumulative constraint violation analysis for online convex optimization with long term constraints

arXiv

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arXiv 2021年

作者： Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Chai, Tianyou Johansson, Karl H. School of Electrical Engineering and Computer Science and Digital Futures KTH Royal Institute of Technology Stockholm Sweden Department of Control Science and Engineering College of Electronics and Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems Institute for Advanced Study Tongji University Shanghai China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore

This paper considers online convex optimization with long term constraints, where constraints can be violated in intermediate rounds, but need to be satisfied in the long run. The cumulative constraint violation is used as the metric to measure constraint violations, which excludes the situation that strictly feasible constraints can compensate the effects of violated constraints. A novel algorithm is first proposed and it achieves an O(Tmax{c,1-c}) bound for static regret and an O(T (1-c)/2) bound for cumulative constraint violation, where c ϵ (0, 1) is a user-defined trade-off parameter, and thus has improved performance compared with existing results. Both static regret and cumulative constraint violation bounds are reduced to O(log(T )) when the loss functions are strongly convex, which also improves existing results. In order to achieve the optimal regret with respect to any comparator sequence, another algorithm is then proposed and it achieves the optimal O( p T (1 + PT )) regret and an O(√T) cumulative constraint violation, where PT is the path-length of the comparator sequence. Finally, numerical simulations are provided to illustrate the effectiveness of the theoretical results. Copyright © 2021, The Authors. All rights reserved.

关键词： Comparators (optical)

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Graph Optimization Based Long-distance GPS/IMU Integrated Navigation

Graph Optimization Based Long-distance GPS/IMU Integrated Na...

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第三十八届中国控制会议

作者： Xiaojie Gu Fengdi Zhang Jian Xu Qing Yuan Hongwei Ma Xiangdong Liu Zhen Li School of Automation and Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology Beijing Aerospace Automatic Control Institute National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing

The accurate position estimation plays an critical role in the autonomous navigation for Micro Aerial Vehicles(MAV).Global positioning System(GPS) and inertial measurement unit(IMU) are two common sensors for navigation widely used on MAVs in the urban environment. Both of them have its distinct disadvantages that the GPS is susceptible to environmental interference and the IMU has accumulative errors. To overcome these problems, a GPS/IMU integrated system based on the factor graph optimization is developed in this paper. Unlike the conventional extended Kalman filter(EKF)-based method, the graph optimization method takes the whole trajectory into consideration so that it can achieve enough accuracy even after a long distance. Furthermore, the IMU preintegration method is used to avoid the repeated computation of high-rate IMU *** with the EKF method, the experimental results on the Zurich urban micro aerial vehicle dataset show the superior accuracy of the proposed factor graph optimization algorithm.

关键词： Global positioning System(GPS) inertial measurement unit(IMU) IMU preintegration graph optimization integrated navigation

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Robust Adaptive Back-stepping Attitude control for Hypersonic Reentry Vehicles

Robust Adaptive Back-stepping Attitude Control for Hypersoni...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Wu, Tiancai Wang, Honglun Li, Na Yu, Yue Wu, Jianfa Beihang University School of Automation Science and Electrical Engineering Shenyuan Honors College Beijing China Beihang University Sch. of Automat. Sci. and Elec. Engineering Science and Technology on Aircraft Control Laboratory Beijing China Beihang University Unmanned Systems Research Institute Beijing China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9781728137926

In this paper, a robust adaptive back-stepping attitude controller is investigated for hypersonic reentry vehicle under unknown parameters and external disturbances. Firstly, the affine nonlinear system of HRV is established in the form of a cascade structure. Secondly, the robust attitude controller based on linear extended state observer, back-stepping method and adaptive control technique is proposed. An adaptive strategy is applied to identify the unknown parameters. Linear extended state observer is applied to observe and compensate the intricate external disturbances. control law and parameter adaptive law can be obtained, and the stability of closed-loop control system can be guaranteed by choosing the appropriate Lyapunov function. Finally, simulation results and discussions are presented to verify the effectiveness of the proposed control strategy. © 2019 IEEE.

关键词： Attitude control

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Multi-mode Model Predictive control and Estimation for Uncertain Biotechnological processes

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IFAC-PapersOnLine 2019年第1期52卷 709-714页

作者： Bruno Morabito Achim Kienle Rolf Findeisen Lisa Carius Laboratory for System Theory and Automatic Control Otto-von-Guericke University Magdeburg Laboratory for Automation/Modelling Otto-von-Guericke University Magdeburg Max Plank Institute for Complex Dynamical Systems Magdeburg

Biotechnological processes are urged to become more flexible and sustainable in order to meet the challenges of modern society. Using renewable feed stocks for the production of value added products is one strategy to achieve sustainability. The challenges arising from the use of renewables are large compared to the commonly used resources. The concentration of nutrients in renewable feed stocks varies between batches and is not optimal in respect to the demands of the cells. The biological system adapts to this situation by changing the metabolic growth modes in dependence of the availability of nutrients in the media. Consequently, the process can run through multiple modes. Each switch of the mode results in a change of the system dynamics which effects the process performance. To overcome the challenges, we propose a model predictive control approach combined with a moving horizon estimator that takes directly the multi-mode nature of the process into account. It ensures optimal performance while guaranteeing that the constraints are met in each phase of the process. The approach is motivated by and applied to a sustainable biopolymer production from juice waste.

关键词： multi-mode model predictive control moving horizon estimation biotechnology state estimation MPC MHE

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Delays in Model Reduction of Chemical Reaction Networks

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IFAC-PapersOnLine 2018年第14期51卷 100-105页

作者： Lipták, György Hangos, Katalin M. Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 BudapestH-1518 Hungary Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary

A novel engineering model reduction method is proposed in this paper that can be applied to a chemical reaction network (CRN) with chains of linear reactions. The reduced model is a delayed CRN with possibly different delays but with less state variables than the original model. As the first step of the model reduction, a decomposition method is also developed to transform chains with joint reactions into independent chains of linear reactions. The well known example of McKeithan's network is used as a case study to illustrate the basic concepts and the design method. © 2018

关键词： Reduction

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Dead-Time Compensator for State-delay Stable systems

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IFAC-PapersOnLine 2018年第18期51卷 672-677页

作者： Albertos, P. García, P. Chen, Q. Luan, X. Department of Systems Engineering Control Instituto de Automática e Informática Industrial Universitat Politècnica deValència Spain Key Laboratory of Advance Process Control for Light Industries Institute of Automation Jiangnan University China

This paper deals with the control of simple process models with state-delays. A pre-compensator is used to cancel the delay. Due to the cancellation of some terms, the process as well as its undelayed part should be stable. Although the approach is general, in order to simplify the notation, second order systems are considered to describe the procedure. The proposed methodology is applied to compensate the delay in a recycled reactor as well as to control a pure state-delayed academic example. © 2018

关键词： process control Delay control systems Recycling control design Dead time compensator Dead time compensation Pre compensator Second order systemss Stable systems State delay Time delay systems

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Distributed delay model of the McKeithan’s network

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IFAC-PapersOnLine 2019年第7期52卷 33-38页

作者： György Lipták Katalin M. Hangos Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary

In this paper CRNs containing linear reaction chains with multiple joint complexes were considered in order to obtain an equivalent reduced order delayed CRN model with distributed time delays. For this purpose, our earlier method (Lipták and Hangos (2018)) for decomposing the chains of linear reactions with multiple joint complexes was used together with the "linear chain trick". An analytical expression for the kernel function of the distributed delay was also derived from the reaction rate coefficients of the linear reaction chains. Our approach was demonstrated using the example of the well known McKeithan’s network model of kinetic proofreading.

关键词： process control Delay Chemical Reaction Networks

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Optimal Current Excitation for the Time-Domain Estimation of the Electrochemical Impedance

Optimal Current Excitation for the Time-Domain Estimation of...

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IEEE Conference on Vehicle Power and Propulsion (VPPC)

作者： Daniel Ritzberger Christoph Hametner Stefan Jakubek Institute of Mechanics and Mechatronics Control and Process Automation TU Wien Vienna Austria Christian Doppler Laboratory for Innovative Control and Monitoring of Automotive Powertrain Systems TU Wien Vienna Austria

For the real-time fault detection of electrochemical cells in automotive applications, time-domain based impedance estimation schemes, together with broad-band current excitation signals, have been developed. Whereas the appropriate choice of the estimator is necessary as to prevent a systematic estimation bias, the choice of the applied excitation signal is of equal crucial importance as thereby the covariance of the estimate, and therefore the resulting accuracy of the estimation scheme, is directly influenced. In this work, an optimization of the applied current excitation signal, based on the Fisher information matrix, is proposed and its influence on the estimation accuracy is investigated.

关键词： Estimation Optimization Impedance Time-domain analysis Noise measurement Integrated circuit modeling Equivalent circuits

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