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control and estimation of downhole pressure in managed pressure drilling operations

Control and estimation of downhole pressure in managed press...

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4th International symposium on Communications, control, and Signal Processing, ISCCSP-2010

作者： Zhou, Ling Nygaard, Gerhard Petroleum Department International Research Institute of Stavanger Thormohlensgate 55 N-5008 Bergen Norway

ISBN: (纸本)9781424462858

This paper presents a nonlinear adaptive observer and a simple model-based control scheme to stabilize the annular pressure profile throughout the well bore continuously while drilling. A simple mechanistic model is presented that captures the dominant phenomena of the drilling system and forms the basis for model-based observer and control design. A new nonlinear adaptive observer is developed for estimation downhole pressure. A simple PI controller is designed to stabilize the annular pressure and achieve tracking by applying feedback control of the choke valve opening and the main pumps. ©2010 IEEE.

关键词： Adaptive observer control Estimation Managed pressure drilling Stabilization

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Output Based Direct Adaptive Iterative Learning control for nonlinear Systems

Output Based Direct Adaptive Iterative Learning Control for ...

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IEEE International Conference on control Applications Part of 2010 IEEE Multi-Conference on Systems and control

作者： Wang, Ying-Chung Chien, Chiang-Ju Huafan Univ Dept Elect Engn New Taipei Taipei County Taiwan

ISBN: (纸本)9781424453610

In this paper, an output based direct adaptive iterative learning controller using a fuzzy neural network is proposed for a class of uncertain repeatable nonlinear systems. As we assume that the states are not measurable, a sliding window of measurements is introduced to design the iterative learning controller without state observer. Based on a derived error model, a fuzzy neural network using sliding window of measurement is introduced to design a fuzzy neural learning component. It is used to overcome the design difficulty in dealing with the certainty equivalent controller. On the other hand, an averaging filter approach is adopted to design a robust learning component. It will compensate for the uncertainties due to fuzzy neural approximation error, input disturbance and state estimation errors. A Lyapunov like analysis is applied to show that all the adjustable parameters as well as internal signals remain bounded for all iterations. Furthermore, the norm of output tracking error will asymptotically converge to a tunable residual set as iteration goes to infinity.

关键词： Lyapunov like analysis Lyapunov methods adaptive control adaptive iterative learning control fuzzy neural learning component fuzzy neural nets fuzzy neural network iterations iterative methods learning systems nonlinear systems output tracking error sliding window uncertain repeatable nonlinear systems

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Fault Tolerant control for Takagi-Sugeno systems with unmeasurable premise variables by trajectory tracking

Fault Tolerant Control for Takagi-Sugeno systems with unmeas...

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IEEE International symposium on Industrial Electronics (ISIE)

作者： Ichalal, Dalil Marx, Benoit Ragot, Jose Maquin, Didier Nancy Univ CRAN F-54516 Vandoeuvre Les Nancy France

ISBN: (纸本)9781424463916

This paper presents a new method for fault tolerant control of nonlinear systems described by Takagi-Sugeno fuzzy systems with unmeasurable premise variables. The idea is to use a reference model and design a new control law to minimize the state deviation between a healthy reference model and the eventually faulty actual model. This scheme requires the knowledge of the system states and of the occurring faults. These signals are estimated from a Proportional-Integral observer (PIO) or Proportional-Multi-Integral observer (PMIO). The fault tolerant control law is designed by using the Lyapunov method to obtain conditions which are given in Linear Matrix Inequality formulation (LMI). Finally, an example is included.

关键词： Takagi-Sugeno fuzzy systems state and fault estimation PI and PMI observers Lyapunov stability analysis linear matrix inequality

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Robust nonlinear Generalized Predictive control of a Permanent Magnet Synchronous Motor with an Anti-windup Compensator

Robust Nonlinear Generalized Predictive Control of a Permane...

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IEEE International symposium on Industrial Electronics (ISIE)

作者： Errouissi, Rachid Ouhrouche, Mohand Chen, Wen-Hua Univ Quebec Chicoutimi Appl Sci Chicoutimi PQ Canada Univ Loughborough Dept Aeronaut & Automat Engn Loughborough Leics England

ISBN: (纸本)9781424463916

This paper presents a robust nonlinear generalized predictive control (RNGPC) strategy applied to a permanent magnet synchronous motor (PMSM) for speed trajectory tracking and disturbance rejection. The nonlinear predictive control law is derived by using a newly defined design cost function. The Taylor series expansion is used to carry out the prediction in a finite horizon. No information about the external perturbation and parameters uncertainties are needed to ensure the robustness of the proposed RNGPC. Moreover, to maintain the phase current within the limits using saturation blocks, a cascaded structure is adopted and an anti-windup compensator is proposed. The validity of the proposed control strategy is implemented on a dSPACE DS1104 board driving in real-time a 0.25 kW PMSM. Experimental results have demonstrated the stability, robustness and the effectiveness of the proposed control strategy regarding trajectory tracking and disturbance rejection.

关键词： Permanent magnet synchronous motor (PMSM) nonlinear generalized predictive control (NGPC) disturbance observer anti-windup compensator stability robustness

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design of robust backstepping controller for unmanned aerial vehicle using analytical redundancy and extended state observer

Design of robust backstepping controller for unmanned aerial...

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International symposium on Systems and control in Aerospace and Astronautics

作者： Qiu, Liwei Yi, Jianqiang Fan, Guoliang Yu, Wensheng Yuan, Ruyi Institute of Automation Chinese Academy of Sciences Beijing China Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China

ISBN: (纸本)9781424460441

In current flight control system (FCS) practice for unmanned aerial vehicles(UAVs), flight safety becomes more and more important in extreme weather or in the face of sensor and control effector failures. Flight safety is guaranteed traditionally by specifying functionally redundant control hardware. Compared with extra burden increased by hardware redundancy on UAV, design of analytical redundancy becomes attractive in recent years. This paper proposes a new hybrid design scheme of analytical redundance FCS, which is composed of analytical redundance, core flight control algorithm and uncertainties compensator. Analytical redundancy for attitude angle rates adopts reduced order nonlinear state observer method. The core backstepping flight controller realizes linearization and decoupling of the highly nonlinear and tightly coupled UAV model. For cancelling out uncertainties such as unmodeled dynamics and external disturbances, an extended state observer(ESO) compensator is designed to enhance the robustness of FCS. Pseudoinverse method is applied to establish the mapping between moments and multiple control surfaces. Numerical simulation shows that UAV equipped with the hybrid control scheme has good maneuverability, strong self-learning ability of compensating the unmodeled dynamics and enough robust stability against constraints of actuators. ©2010 IEEE.

关键词： Flight control systems

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Inversion of linear and nonlinear observable systems with series-defined output trajectories

Inversion of linear and nonlinear observable systems with se...

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IEEE International symposium on Computer-Aided control System design

作者： Stumper, Jean-François Kennel, Ralph Institute of Electrical Drive Systems and Power Electronics Department of Electrical Engineering and Information Technology Technische Universität München D-80333 Munich Germany

ISBN: (纸本)9781424453542

The problem of inverting a system in presence of a series-defined output is analyzed. Inverse models are derived that consist of a set of algebraic equations. The inversion is performed explicitly for an output trajectory functional, which is a linear combination of some basis functions with arbitrarily free coefficients. The observer canonical form is exploited, and the input-output representation is solved using a series method. It is shown that the only required system characteristic is observability, which implies that there is no need for output redefinition. An exact inverse model is found for linear systems. For general nonlinear systems, a good approximation of the inverse model valid on a finite time interval is found. © 2010 IEEE.

关键词： Observability

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8th IFAC symposium on nonlinear control Systems, NOLCOS 2010

8th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2010

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8th IFAC symposium on nonlinear control Systems, NOLCOS 2010

ISBN: (纸本)9783902661807

The proceedings contain 227 papers. The topics discussed include: dynamical modelling of single-phase and two-phase states in thermodynamic cycles;adaptive observer for three phase source voltage under unbalanced conditions;output stabilization of strongly minimum-phase systems;approximate solution method for the hamilton-jacobi equation based on stable manifold theory with applications;discontinuous feedback and nonlinear systems;3d bipedal robotic walking: models, feedback control, and open problems;consensus on nonlinear spaces;modeling and control of the interaction between flying robots and the environment;nonlinear flight control systems design for hypersonic vehicles: results and open problems;and a dynamic update law for adaptive feedforward control of nonlinear systems.

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State estimation in nonlinear quadratic systems

State estimation in nonlinear quadratic systems

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4th IFAC symposium on System, Structure and control, SSSC 2010

作者： Amato, F. Cosentino, C. Merola, A. School of Computer and Biomedical Engineering Universitá degli Studi Magna Grxcia di Catanzaro 88100 Catanzaro Italy

ISBN: (纸本)9783902661838

The problem of the state estimation of nonlinear quadratic systems is addressed in this paper. Given an assigned polytopic region of the state space, which is enclosed into the domain of attraction of the zero equilibrium point, the main result consists of a sufficient condition for the existence of an observer which guarantees that the estimation error converges to zero, with an assigned rate, over such a prescribed region. The problem of the observer design is tackled in terms of a Linear Matrix Inequalities (LMIs) feasibility problem. Finally, the applicability of the proposed technique is discussed and illustrated through a numerical example. © 2010 IFAC.

关键词： Linear matrix inequalities

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Based on nonlinear disturbance observer approach non-interactive control for hot rolling mill : Experimental validation

Based on nonlinear disturbance observer approach non-interac...

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13th symposium on Automation in Mining, Mineral and Metal Processing, MMM 2010 - Proceedings

作者： Park, H. Jung, D. Won, S. Department of Electronics and Electrical Engineering POSTECH Pohang Korea Republic of

ISBN: (纸本)9783902661739

This paper proposes an advanced method to reduce fluctuations of strip tension and looper position in a steel rolling mill. We design a non-interactive controller to decouple the looper system into two subsystems. We consider uncertainties, disturbances and interactions as each nominal subsystem's disturbance. To reduce these disturbances, we use a nonlinear disturbance observer. We prove that the proposed method can reduces response time and fluctuations in strip tension in comparison with other methods. Simulation results and hardware experiment results are included. © 2010 IFAC.

关键词： Hot rolling

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nonlinear observerS FOR CONSTRAINED SYSTEMS

NONLINEAR OBSERVERS FOR CONSTRAINED SYSTEMS

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2nd Annual Dynamic Systems and control Conference (DSCC 2009)/Bath/ASME symposium on Fluid Power and Motion control

作者： Kfoury, Giscard A. Chalhoub, Nabil G. Lawrence Technol Univ Dept Mech Engn Southfield MI 48075 USA

ISBN: (纸本)9780791848920

Three procedures for designing robust observers to estimate the state variables of nonlinear constrained systems have been developed in this work. All observers are based on the sliding mode methodology and assume that the number of transducers matches that of the degrees of freedom of the system. The conceptual differences between the proposed observer designs are in the number and selection of the sliding surfaces along with the formulations pertaining to their nominal models. The observers have been applied to estimate the state variables of a crank-slider mechanism of a single cylinder engine. The simulation results demonstrate the capabilities of the observers in accurately estimating the state variables of the system, including the superfluous ones, in the presence of significant structured and unstructured uncertainties. In addition, the results show that the nominal constraint equations are satisfied by the estimated state variables.

关键词： Single-cylinder engines Degrees of freedom Uncertainty Simulation results design Transducers

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