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检索条件"主题词=Nonlinear Model Predictive Control"

共 1666 条记录，以下是91-100 订阅

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nonlinear model predictive control strategy for steam turbine rotor stress 10

Nonlinear Model Predictive Control strategy for steam turbin...

引用

10th International Conference on Applied Energy (ICAE)

作者： Dettori, S. Maddaloni, A. Colla, V Toscanelli, O. Bucciarelli, F. Signorini, A. Checcacci, D. Scuola Super Sant Anna Via Moruzzi 1 I-56124 Pisa Italy Baker Hughes Via F Matteucci 2 I-50127 Florence Italy

The paper proposes a nonlinear model predictive control strategy for the control of steam turbines rotor thermal stresses, which exploits the approximation of the turbine rotor as an infinite cylinder subjected to external convection. The nonlinear model predictive control allows optimizing the control strategy in the long term, by significantly reducing the machine start-up time during the power up ramp. This study proposes two different control strategies: the former one is based on the control of the Heat Transfer Coefficient, correlated to the inlet valve stroke. The latter one is based on the control of Heat Transfer Coefficient and the boiler steam temperature reference. Both strategies achieve good results in shortening the start-up time. The overall approach is validated and currently under development on Programmable Logic controller platforms to the aim of code optimization. (C) 2019 The Authors. Published by Elsevier Ltd.

关键词： Rotor Stress control nonlinear model predictive control Power Startup

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nonlinear model predictive control applied to Concentrated Solar Power Plants 21st

Nonlinear Model Predictive Control applied to Concentrated S...

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21st IFAC World Congress on Automatic control - Meeting Societal Challenges

作者： Dettmer, Ramon Jesuino Mendes, Paulo Renato da Costa Normey-Rico, Julio Elias Univ Fed Santa Catarina Automat & Syst Dept Florianopolis SC Brazil Fraunhofer Inst Ind Math Kaiserslautern Germany

This papers presents a nonlinear model predictive controller (NMPC) for temperature control in solar collector fields. The proposed NMPC uses feedback linearization for handling the systems nonlinearities in a mixed integer quadratic programming (MIQP) formulation that makes the constraints convex in the new coordinates, making the controller solution an optimal one. Several simulations are shown with real data and a validated model of solar field to illustrate the advantages of the proposed strategy over other general-purpose NMPC methods, showing great improvement in constraint satisfaction. Copyright (C) 2020 The Authors.

关键词： nonlinear model predictive control Concentrated Solar Power Plant Renewable Energy Mixed Integer Quadratic Programming

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nonlinear model predictive control for visual servoing from a set of points 13

Nonlinear model predictive control for visual servoing from ...

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IEEE International Conference on Mechatronics and Automation

作者： Ye, Guoqiang Li, Weiguang Wan, Hao South China Univ Technol Sch Mech & Automot Engn Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781509023967

from a set of points in the image plane, six independent image features are designed with nice decoupling and linear properties. Then, nonlinear model predictive control is used to redefine the visual servoing as a constrained optimization problem, where local predictive model is designed based on image jacobian. The necessarity of field-of-view constraint is deceased, thanks to proposed strategy for recovery of disappearing matched point features by projection homography. This helps to reduce the unknown parameters in the optimization problem. On the other hand, proposed constrained visual servoing control is expected to perform well in task space because of selected features. Finally, simulation results are presented to illustrate the effectiveness and improved performance of proposed method.

关键词： nonlinear model predictive control visual servoing moments homography

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nonlinear model predictive control based on State Dependent Riccati Equation 15

Nonlinear Model Predictive Control based on State Dependent ...

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15th International Conference on Sciences and Techniques of Automatic control and Computer Engineering (STA)

作者： Belarbi, K. Boumaza, H. Boutamina, B. Ecole Natl Polytech Constantine Constantine Algeria Univ Constantine 1 Fac Technol Dept Elect Constantine Algeria

ISBN: (纸本)9781479959075

In this work, we introduce an approach to nonlinear model predictive based on the so-called state dependent Riccati equation, SDRE. In this approach, the model is first cast in a form similar to the linear state space representation. Then the algebraic Riccati equation is constructed based on a similarity with the linear quadratic regulator to obtain stable NMPC. The method requires the solution of the Riccati equation at each sampling period. Simulation results are quite encourageing.

关键词： nonlinear model predictive control state dependent Riccati equation linear quadratic regulator

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nonlinear model predictive control of permanent magnet linear synchronous motor 8

Nonlinear model predictive control of permanent magnet linea...

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8th Power Electronics, Drive Systems and Technologies Conference (PEDSTC)

作者： Abdi, Loghman Rostami, Naghi Bagheri, Peyman Tohidi, Sajjad Univ Tabriz Fac Elect & Comp Engn Tabriz Iran

ISBN: (纸本)9781509057665

Field oriented control (FOC) is considered as one of the most efficient techniques for speed tracking problem of permanent magnet linear synchronous motor (PMLSM) drives. However, the main inherent drawbacks of classic FOe methods are the high sensitivity to machine parameters, high switching frequency and unsuitable performances in tracking low speeds. In this paper, a new strategy based on nonlinear model predictive control (NMPC) is proposed to overcome the limitations of cascaded linear controllers and other problems inherent in classical controllers. The suggested controller directly controls the switches of inverter. In order to show the efficiency of the proposed control strategy, the system response is studied under uncertainty of the motor parameters and load disturbance. To more validations, the intense reduction of inverter switching frequency is studied in compare with well-known FOe scheme. The simulation results show that the proposed approach has as well tracking of speed trajectory under all operating conditions, and simultaneously, it reduces the average inverter switching frequency 90% rather than the classical FOe.

关键词： permanent magnet linear synchronous motor field oriented control nonlinear model predictive control speed tracking switching frequency

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nonlinear model predictive control Using Sampling and Goal-Directed Optimization

Nonlinear Model Predictive Control Using Sampling and Goal-D...

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

作者： Dunlap, Damion D. Caldwell, Charmane V. Collins, Emmanuel G., Jr. Florida State Univ Dept Mech Engn Florida A&M Univ Coll Engn FAMU FSU COE 2525 Pottsdamer St Tallahassee FL 32310 USA FAMU FSU CO CISCOR Dept Elect & Comp Engn Tallahassee FL USA FAMU FSU COE CISCOR Dept f Mech Engn Tallahassee FL USA

ISBN: (纸本)9781424453634

In this paper a novel method called Sampling-Based model predictive control (SBMPC) is proposed as an efficient MPC algorithm to generate control inputs and system trajectories. The algorithm combines the benefits of sampling-based motion planning with MPC while avoiding some of the major pitfalls facing both traditional sampling-based planning algorithms and traditional MPC. The method is based on sampling (i.e., discretizing) the input space at each sample period and implementing a goal-directed optimization method (e. g., A ?) in place of standard numerical optimization. This formulation of MPC readily applies to systems with nonlinear dynamics and avoids the local minima which can limit the performance of MPC algorithms implemented using traditional, derivative-based, nonlinear programming. The SBMPC algorithm is compared with a more standard online MPC algorithm using cluttered environment navigation for an Ackerman steered vehicle and a set point problem for a nonlinear, continuous stirred-tank reactor (CSTR).

关键词： Ackerman steered vehicle cluttered environment navigation efficient MPC algorithm goal-directed optimization navigation nonlinear continuous stirred-tank reactor nonlinear control systems nonlinear model predictive control optimisation path planning predictive control sampling-based model predictive control sampling-based motion planning sampling-based planning set point problem standard numerical optimization traditional derivative based nonlinear programming

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nonlinear model predictive control of an Omnidirectional Mobile Robot with Self-tuned Prediction Horizon 17

Nonlinear Model Predictive Control of an Omnidirectional Mob...

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17th Conference on Industrial Electronics and Applications (ICIEA)

作者： Zhang, Hongyang Wang, Shuting Xie, Yuanlong Wu, Hao Xiong, Tifan Li, Hu Huazhong Univ Sci & Technol Sch Mech Sci & Engn Wuhan Peoples R China

ISBN: (纸本)9781665409841

For omnidirectional mobile robot (OMR), it is difficult to achieve adequate tracking flexibility and accuracy with nonlinear model predictive control (NMPC) in a fixed horizon due to the dynamic change of system variables. This paper proposed a strategy of NMPC with self-turned prediction horizon, which can adapt to the change of system variables and perform a stable tracking control. Firstly, we construct a kinematics model for the Ackerman mode of the OMR. Secondly, the NMPC strategy is adapted to trajectory tracking. Moreover, a method to select the appropriate prediction of horizon is proposed by considering the influence of velocity and road curvature on the system. And the switch problem of the self-turned prediction horizon is solved through the division of the terminal region. Theoretical analysis reveals that the NMPC method is stable, and the convergence of the state errors can be guaranteed. Finally, simulation experiments on a four-wheeled OMR validate the effectiveness and superiority of the self-turned prediction horizon control method comparing with the fixed horizon NMPC method or other variable prediction horizon NMPC methods.

关键词： omnidirectional mobile robot nonlinear model predictive control Self-tuned prediction horizon terminal region

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nonlinear model predictive control for Wheeled Mobile Robot in Dynamic Environment

Nonlinear Model Predictive Control for Wheeled Mobile Robot ...

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IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

作者： Hsieh, Chung-Han Liu, Jing-Sin Acad Sinica Inst Informat Sci Taipei 11529 Taiwan

ISBN: (纸本)9781467325769

This paper address the set-point regulation problem of a nonholonomic wheeled mobile robot with obstacle avoidance in a known dynamic environment populated with static and moving obstacles subject to robot kinematic and dynamic constraints by using the nonlinear model predictive control in polar coordinate. The terminal state penalty, terminal state constraints, and the input saturation constraints are taken into consideration in this optimization problem to guarantee the closed-loop regulation performance and stability. Simulation results are shown for illustrating the effectiveness of the control algorithm in steering a nonholonomic wheeled mobile robot.

关键词： nonlinear model predictive control wheeled mobile robots Computer algorithms Moving obstacles Obstacle avoidance kinematics stability simulation

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nonlinear model predictive control for Enhanced Navigation of Autonomous Surface Vessels 8

Nonlinear Model Predictive Control for Enhanced Navigation o...

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8th IFAC Conference on nonlinear model predictive control (NMPC)

作者： Menges, Daniel Tengesdal, Trym Rasheed, Adil Norwegian Univ Sci & Technol Dept Engn Cybernet Trondheim Norway SINTEF Digital Dept Math & Cybernet Trondheim Norway

This article proposes an approach for collision avoidance, path following, and antigrounding of autonomous surface vessels under consideration of environmental forces based on nonlinear model predictive control (NMPC). Artificial Potential Fields (APFs) set the foundation for the cost function of the optimal control problem in terms of collision avoidance and anti-grounding. Depending on the risk of a collision given by the resulting force of the APFs, the controller optimizes regarding an adapted heading and travel speed by additionally following a desired path. For this purpose, nonlinear vessel dynamics are used for the NMPC. To extend the situational awareness concerning environmental disturbances impacted by wind, waves, and sea currents, a nonlinear disturbance observer is coupled to the entire NMPC scheme, allowing for the correction of an incorrect vessel motion due to external forces. In addition, the most essential rules according to the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs) are considered. The results of the simulations show that the proposed framework can control an autonomous surface vessel under various challenging scenarios, including environmental disturbances, to avoid collisions and follow desired paths. Copyright (C) 2024 The Authors.

关键词： nonlinear model predictive control Artificial Potential Fields nonlinear Disturbance Observer Autonomous Surface Vessels Collision Avoidance Anti-Grounding

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nonlinear model predictive control for the Superfluid Helium Cryogenic Circuit of the Large Hadron Collider

Nonlinear Model Predictive Control for the Superfluid Helium...

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

作者： Noga, Rafal Ohtsuka, Toshiyuki de Prada Moraga, Cesar Vinuela, Enrique Blanco Cubillos, Juan Casas Osaka Univ 1-3 Machikaneyama Osaka 5608531 Japan Univ Valladolid E-47011 Valladolid Spain CERN European Org Nuclear Res CH-1211 Geneva Switzerland

ISBN: (纸本)9781424453634

Superfluid helium is used in the cryogenic circuit that cools down and stabilizes temperature of more than 1600 high performance, main superconducting magnets of the Large Hadron Collider (LHC) - the new particle accelerator at European Organization for Nuclear Research (CERN). This paper presents a simulation study of the application of nonlinear model predictive control (NMPC) to the Superfluid Helium Cryogenic Circuit. First, the new first principles, distributed parameter model of the circuit to be used in online optimization is reviewed. Then stabilization of the superconducting magnets temperature using NMPC based on the model and Continuation/Generalized Minimum Residual (C/GMRES) algorithm is described. Finally the small computational cost of C/GMRES solution/approximation method and resulting real-time feasibility are highlighted.

关键词： European Organization for Nuclear Research accelerator control systems accelerator magnets circuit optimisation continuation-generalized minimum residual algorithm cryogenic electronics distributed parameter model distributed parameter systems large hadron collider liquid helium nonlinear control systems nonlinear model predictive control online optimization particle accelerators predictive control superconducting magnet superconducting magnets superfluid helium cryogenic circuit superfluidity synchrotrons temperature control

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