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Observer-based input/output (I/O) linearizing control for an EDC vaporizer system

JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS 2015年 50卷 69-75页

作者： Rungrueng, Kochnapoom Panjapornpon, Chanin Kasetsart Univ Dept Chem Engn Ctr Excellence Petrochem & Mat Technol Fac Engn Bangkok 10900 Thailand

This paper presents a new observer-based input/output (I/O) system for handling the level and temperature of a vaporizer system with heat integration in petrochemical industries. The vaporizer is usually sensitive to disturbances and has a small stable operating regime, leading to a problem of system stabilization. The I/O linearizing controller is designed to force the outputs to track desired trajectories while the nonlinear observer with linearizable error dynamics predicts compensated states. The performance of the control method is investigated through a case study of the ethylene dichloride (EDC) vaporizer system under the setpoint tracking with unmeasured disturbances and process uncertainties. The simulation results showed that the proposed method is effective to compensate disturbances for the vaporizer system. (C) 2015 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

关键词： Model-based control Observer-based controller input-output linearization Near-unstable system EDC vaporizer Gas-liquid process

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Characterization of static feedback realizable transfer functions for nonlinear control systems

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 1998年第11期8卷 979-994页

作者： Huijberts, HJC Eindhoven Univ Technol Dept Math & Comp Sci NL-5600 MB Eindhoven Netherlands

This paper gives a characterization of all transfer functions that may be realized via regular static-state feedback for a SISO nonlinear control system. It is shown that the question whether there exists a feedback realizable transfer function with a given number of zeros may be reduced to a well-known problem from real-algebraic geometry. As a by-product, solvability conditions for the linear model matching problem via static-state feedback, as well as conditions for the existence of linear subsystems of not necessarily maximal dimension are obtained. (C) 1998 John Wiley & Sons, Ltd.

关键词： feedback linearization input-output linearization static state feedback

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On the effect of perturbations on the stability of input-output linearizing controllers for a class of discrete-time nonlinear systems

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 1998年第11期8卷 955-964页

作者： Cruz-Hernandez, C Alvarez-Gallegos, J Castro-Linares, R CICESE Dept Elect & Telecommun San Diego CA 92143 USA CINVESTAV IPN Dept Elect Engn Mexico City 07300 DF Mexico

An analysis of the effect of parameter perturbations on the stability of input-output linearizing controllers for a class of MIMO discrete-time nonlinear systems is presented. A static-state feedback is designed to input-output linearize a system without perturbations, and it is applied to the same system with an uncertain parameter vector, thus introducing an uncertain parameter term in the nominal input-output linearized system. It is shown that the state trajectories of the closed-loop perturbed system are ultimately bounded provided the closed-loop nominal system is exponentially stable and some conditions on the bounds of the perturbation terms are satisfied. (C) 1998 John Wiley & Sons, Ltd.

关键词： discrete-time nonlinear systems input-output linearization Lyapunov stability

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Multi-objective constraint optimizing IOL control of distillation column with nonlinear observer

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JOURNAL OF PROCESS CONTROL 2007年第1期17卷 73-81页

作者： Biswas, Pinak Pani Ray, Subhabrata Samanta, Amar Nath Indian Inst Technol Dept Chem Engn Kharagpur 721302 W Bengal India

Performance of input-output linearizing (IOL) controllers suffers due to constraints on input and output variables. This problem is successfully tackled by augmenting IOL controllers with quadratic dynamic matrix controller (QDMC). However, this has created a constraint-mapping problem for coupled MIMO systems like distillation column. A multi-objective optimization problem needs to be solved to map the constraints on inputs. A suitable transformation technique is proposed to convert this multi-objective optimization problem to a single objective one. This makes the controller less computationally intensive and easy to implement. This controller (IOL-QDMC) along with nonlinear observer is implemented on a binary distillation column for dual composition control. Its performance is evaluated against a quadratic dynamic matrix controller (QDMC) and input-output linearization with PI controller (IOL-PI). (C) 2006 Published by Elsevier Ltd.

关键词： input-output linearization quadratic dynamic model predicted control constraint mapping nonlinear control

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State-constrained stabilization of beam-balance systems

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 2008年第3期18卷 333-350页

作者： Mahindrakar, Arun D. Sankaranarayanan, V. Indian Inst Technol Dept Elect Engn Madras 600036 Tamil Nadu India Istanbul Tech Univ Automat Control & Mechatron Res Ctr Dept Mech Engn TR-80626 Istanbul Turkey

We present nonlinear control techniques to stabilize a beam-balance system with state constraints. We consider two different actuator configurations: the first one is actuated by a cart moving on the beam, while in the second case, the actuation is by a single electromagnet. In the first case, the constrained stabilization problem is solved via an output feedback controller designed using feedback linearization, Luenberger-like observer and linear matrix inequality based optimization. In the second case, a Lyapunov-based controller is proposed that takes care of both the input and state constraints. Copyright (c) 2007 John Wiley & Sons, Ltd.

关键词： state constraints input-output linearization observer invariant set LMI

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Friction compensation for a process control valve

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CONTROL ENGINEERING PRACTICE 2000年第7期8卷 799-812页

作者： Kayihan, A Doyle, FJ Univ Delaware Dept Chem Engn Colburn Lab 211 Newark DE 19716 USA Purdue Univ Sch Chem Engn W Lafayette IN 47907 USA

A nonlinear locally intelligent actuator design is developed to control a valve independently of the distributed control system. Nonlinear control is implemented through the direct synthesis of a sliding-stem valve model within a nonlinear structure. input-output linearization with discontinuity smoothing is used to cancel friction nonlinearities as well as to reduce control action chattering. A closed-loop nonlinear Luenberger observer is used to reconstruct an unmeasurable state as well as to provide robust control action in the presence of parametric uncertainty, A model-based fault detector is developed to monitor serious faults such that a warning may be sent to an operator describing the exact nature of the fault. Fault diagnostic approaches are also provided in the form of threshold detection and fault tree analysis. Setpoint tracking results are provided to compare against linear proportional-integral control. The nonlinear controller is shown to outperform linear control set-point tracking measured integral absolute error (IAE). In conclusion, the advantages of local nonlinear control are discussed. (C) 2000 Elsevier Science Ltd. All rights reserved.

关键词： nonlinear local control input-output linearization parameter estimation fault diagnosis control valve friction smoothing

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Minimum-Rank Dynamic output Consensus Design for Heterogeneous Nonlinear Multi-Agent Systems

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IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS 2018年第1期5卷 105-115页

作者： Dinh Hoa Nguyen Kyushu Univ Int Inst Carbon Neutral Energy Res WPI I2CNER Fukuoka 8190395 Japan Kyushu Univ IMI Fukuoka 8190395 Japan

In this paper, we propose a new and systematic design framework for output consensus in heterogeneous multi-input multi-output (MIMO) general nonlinear multi-agent systems (MASs) subjected to directed communication topology. First, the input-output feedback linearization method is utilized assuming that the internal dynamics is input-to-state stable (ISS) to obtain linearized subsystems of agents. Consequently, we propose local dynamic controllers for agents such that the linearized subsystems have an identical closed-loop dynamics which has a single pole at the origin whereas other poles are on the open left-half complex plane. This allows us to deal with distinct agents having arbitrarily vector relative degrees and to derive rank-1 cooperative control inputs for those homogeneous linearized dynamics which results in a minimum rank distributed dynamic consensus controller for the initial nonlinear MAS. Moreover, we prove that the coupling strength in the consensus protocol can be arbitrarily small but positive and, hence, our consensus design is nonconservative. Next, our design approach is further strengthened by tackling the problem of randomly switching communication topologies among agents where we relax the assumption on the balance of each switched graph and derive a distributed rank-1 dynamic consensus controller. Finally, a numerical example is introduced to illustrate the effectiveness of our proposed framework.

关键词： Heterogeneity input-output linearization input-to-state stability low-rank design multi-agent system randomly switching topologies

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Control and Disturbances Compensation for Doubly Fed Induction Generators Using the Derivative-Free Nonlinear Kalman Filter

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IEEE TRANSACTIONS ON POWER ELECTRONICS 2015年第10期30卷 5532-5547页

作者： Rigatos, Gerasimos Siano, Pierluigi Zervos, Nikolaos Cecati, Carlo Ind Syst Inst Unit Ind Automat Rion 26504 Greece Univ Salerno Dept Ind Engn I-84084 Fisciano Italy Univ Aquila Dept Informat I-67100 Laquila Italy

The paper studies differential flatness properties and an input-output linearization procedure for doubly fed induction generators (DFIGs). By defining flat outputs which are associated with the rotor's turn angle and the magnetic flux of the stator, an equivalent DFIG description in the Brunovksy (canonical) form is obtained. For the linearized canonical model of the generator, a feedback controller is designed. Moreover, a comparison of the differential flatness theory-based controlmethod against Lie algebra-based control is provided. At the second stage, a novel Kalman Filtering method (Derivative-free nonlinear Kalman Filtering) is introduced. The proposed Kalman Filter is redesigned as disturbance observer for estimating additive input disturbances to the DFIG model. These estimated disturbance terms are finally used by a feedback controller that enables the generator's state variables to track desirable setpoints. The efficiency of the proposed state estimation-based control scheme is tested through simulation experiments.

关键词： Derivative-free nonlinear Kalman filtering differential flatness theory disturbance estimator doubly fed induction generator (DFIG) input-output linearization nonlinear control

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Extended state observer-based robust pitch autopilot design for tactical missiles

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING 2012年第G12期226卷 1482-1501页

作者： Godbole, A. A. Libin, T. R. Talole, S. E. Def Inst Adv Technol Dept Aerosp Engn Girinagar India

In this article, a new design based on the extended state observer (ESO) technique for the pitch autopilot of a tail-controlled, skid-to-turn missile is proposed. The pitch-plane dynamics with the angle of attack as output is significantly uncertain. The ESO simultaneously estimates the state and the uncertainty. The estimated uncertainty is used to robustify the input-output-linearization-based controller designed for the nominal system. Closed-loop stability of the observer-controller combination is proved. The notable feature of the proposed design is that it neither requires accurate plant model nor any information about the uncertainty. The effectiveness of the ESO in estimation of the uncertainties and states and in meeting the specified tracking performance in the presence of significant uncertainties is illustrated by simulation. Finally, to demonstrate the efficacy of the proposed design, comparison of its performance with some of the well-known existing controllers is presented.

关键词： pitch autopilot input-output linearization extended state observer robust control

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Adaptive approximate input-output linearizing control with applications to ball and beam mechanism

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TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 2018年第4期40卷 1201-1211页

作者： Kara, Tolgay Eker, Ilyas Gaziantep Univ Dept Elect & Elect Engn TR-27310 Gaziantep Turkey Cukurova Univ Dept Elect & Elect Engn Fac Engn & Architecture Adana Turkey

This paper presents the design and implementation of adaptive control with approximate input-output linearization for underactuated open-loop unstable non-linear mechanical systems. Control of a ball and beam (BB) mechanism is selected as a benchmark problem for testing the designed control. The method of input-output linearization is reviewed and an adaptive input-output linearizing control design procedure is given. An approximate BB model is developed using Euler-Lagrange equations, and input-output linearization-based adaptive tracking control is designed for the system. The model is parameterized with respect to ball mass for adaptive tracking, and the proposed control structure is tested via computer simulations and experiments. The results present the tracking performance of designed control for various ball masses, and reveal the proposed method's capability to cover ball mass variations over non-adaptive control. The proposed control exhibits improved error performance in the presence of parametric variations in the plant. Results of the BB control case reveal successful control of underactuated non-linear mechanisms when a system parameter is unknown or time varying.

关键词： Adaptive control ball and beam input-output linearization parameter variation tracking

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