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4th IEEE Advanced Information Technology, Electronic and Automation control Conference, IAEAC 2019

作者： Yi, Jian Ren, Gui-Ping Zhang, Hai-Tao Wu, Yue Huazhong University of Science and Technology School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control Wuhan430074 China

ISBN: (纸本)9781728119076

Active magnetic bearing (AMB) rotor system is widely applied in the industry for its remarkable advantages. However, it is a typical open-loop unstable mechatronics system suffering from nonlinear and couple characteristic. In this paper, the feedforward decoupling method is used to deal with the couple relationship of different axes. And the model reference adaptive control (MRAC) method is applied to improve the control performance and robustness and overcome the uncertainties. This control method makes the system output reach to the reference model by the designed adaptive law. Simulation results illustrate the effectiveness of the proposed scheme. © 2019 IEEE.

关键词： model reference adaptive control

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Hyperstable MRAC System of DC Drive with reference model Hedging and Load Torque Compensation 3

Hyperstable MRAC System of DC Drive with Reference Model Hed...

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3rd International Conference on control Systems, Mathematical modeling, Automation and Energy Efficiency, SUMMA 2021

作者： Glushchenko, Anton Petrov, Vladislav Lastochkin, Konstantin V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory 7 Moscow Russia Nust 'MISIS' Automation and Information Control Systems Department Stary Oskol Russia

ISBN: (纸本)9781665439817

Using the theory of hyperstability, an adaptive control system of DC motor speed is developed, which: 1) uses only measurable signals;2) takes into account the boundedness of the control action signal;3) compensates for the negative effect of the non-stationarity of the inertia moment and load torque on the quality of speed control. A mathematical proof of the asymptotic hyperstability of the developed system is derived using the second Lyapunov method and Popov's criterion. The numerical experiments are conducted. They demonstrate that the developed system effectively compensates for the wide-range variations of the load torque and motor inertia moment. Such range is enough for practical needs. © 2021 IEEE.

关键词： model reference adaptive control

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Efficient Thrust Management Algorithm for Variable Thrust Solid Propulsion System with Multi-Nozzles

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JOURNAL OF SPACECRAFT AND ROCKETS 2020年第2期57卷 328-345页

作者： Lee, Hosung Bang, Hyochoong Korea Adv Inst Sci & Technol Dept Aerosp Engn Daejeon 34141 South Korea

A thrust management algorithm that integrates combustion chamber pressure control and thrust distribution is proposed for a variable thrust solid propulsion system with multiple nozzles. In this study, a divert and attitude control system installed with pintle thrusters that can continuously and proportionally change the thrust by varying the nozzle throat area with pintle actuators is considered. The multiple pintle thrusters sharing the combustion chamber has to stabilize the combustion chamber pressure and simultaneously produce the thrust required by the vehicle. A nonlinear combustion chamber pressure controller with application of a nonlinear disturbance observers is proposed in order to consider the chamber dynamics, actuator, nozzle geometry, model uncertainty, and disturbances. Also, a thrust distribution algorithm that can efficiently allocate thrust commands to each thruster based on the pressure control is proposed. Finally, a numerical simulation is conducted to verify the performance of the proposed thrust management algorithm.

关键词： Propulsion System Nozzle Geometry Thrust Chamber Pressure Actuators Attitude control System Numerical Simulation Solid Propellants Yaw model reference adaptive control

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Rohrs Benchmark Problem Revisited by adaptive control with Closed Loop reference model

Rohrs Benchmark Problem Revisited by Adaptive Control with C...

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IEEE International Conference on Information, Communication, Instrumentation and control (ICICIC)

作者： Dey, Rajiv Jain, Sachin K. Padhy, Prabin K. IIITDMJ ECE Dept Jabalpur MP India

ISBN: (纸本)9781509063147;9781509063130

In this paper, a benchmark problem of adaptive control Rohrs example has been revisited with recently developed model reference adaptive control (MRAC) with closed-loop reference model (CRM). The paper incorporates an overview of CRM architecture with state feedback, which is appropriate for the control of such system. We also explore through qualitative considerations the fundamental difference between the conventional MRAC referred as open loop reference model ORM and CRM

关键词： adaptive control model reference adaptive control adaptive control with closed loop reference model

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Switched Concurrent Learning adaptive control of Switched Systems With Nonlinear Matched Uncertainties

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IEEE ACCESS 2020年 8卷 33560-33573页

作者： Wu, Caiyun Li, Jiao Niu, Ben Huang, Xiaoping Shenyang Ligong Univ Sch Equipment Engn Shenyang 110159 Peoples R China Dalian Nationalities Univ Coll Sci Dalian 116600 Peoples R China Shandong Normal Univ Sch Informat Sci & Engn Jinan 250014 Peoples R China Northwestern Polytech Univ Sch Comp Sci Xian 710129 Peoples R China

This paper investigates the model reference adaptive control (MRAC) problem of switched systems with nonlinear matched uncertainties based on mode-dependent average dwell time method. A novel switched MRAC scheme is proposed, which simultaneously uses both current and recorded data from the switched system, to study the convergence of the state tracking error and the weight error without depending on the persistency of excitation. It is critical to establish the relationship among the nonlinear matched uncertainties, the switched concurrent learning(CL) algorithm, the average dwell time of each subsystem, and the convergence domains of the state tracking error and the weight error. First, we find a class of switching signals characterized by mode-dependent average dwell time conditions such that the switched reference model is bounded-input bounded-state stable. Second, in the case of time-invariant nonlinear uncertainties, we design a switched CL adaptive law that ensures that the tracking error converges to zero, and the adaptive weights exponentially converge to their ideal values. Subsequently, in the case of nonlinear time-varying uncertainties, we estimate the convergence rates of the state tracking error and the weight error of each subsystem outside a ball, and thus obtain sufficient conditions that ensure the convergence of the trajectories of the state tracking error and the weight error to a ball centered at the origin with a given radius. Finally, the proposed approach is applied to an electro-hydraulic system, and its effectiveness is demonstrated.

关键词： Switched systems concurrent learning mode-dependent average dwell time model reference adaptive control

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Design of direct MRAC augmented with 2 DoF PIDD controller: An application to speed control of a servo plant

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Journal of King Saud University - Engineering Sciences 2020年第5期32卷 310-320页

作者： Rajesh, R. Deepa, S.N. Department of Electrical and Electronics Engineering Anna University Regional Campus Coimbatore India

An adaptive control with reference model provides the solution for uncertainty in dynamics, transient performance characteristics of autonomous systems. The high frequency oscillation and poor settling time are the important challenges in adaptive control methodology. This article proposes the model reference adaptive control (MRAC) augmented with Proportional Integral Double Derivative (PIDD) controller for a solution of such kind of problems. This proposed multi-loop structure consists of two loops: a primary outer loop executes MRAC with two adjustment mechanism and a secondary inner loop act as a normal closed loop 2 DoF PIDD controller with plant dynamics. The function of 2 DoF PIDD controller is act as a filter for primary adaptive loop to control the high frequency oscillations and pulsating signals. This cascade or multi-loop structure will makes the secondary loop is more stable. The tuning of 2 DoF PIDD parameters again a challenging task due to the presence of extra two parameters and it was done by particle swarm optimization (PSO) algorithm. The effectiveness of the proposed methodology has been tested in servo plant model. © 2019 The Authors

关键词： model reference adaptive control

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Performance enhancement of muitivariable model reference optimal adaptive motor speed controller using error-ciepenuent hyperbolic gain functions

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AUTOMATIKA 2020年第1期61卷 117-131页

作者： Saleem, Omer Rizwan, Mohsin Mahnnood-ul-Hasan, Khalid Ahmad, Muaaz Natl Univ Comp & Emerging Sci Dept Elect Engn 852 B Block Lahore 54000 Pakistan Univ Engn & Technol Dept Mechatron & Control Engn Lahore Pakistan Univ Engn & Technol Dept Elect Engn Lahore Pakistan

The main contribution of this paper is to formulate a robust-adaptive and stable state-space speed control strategy for DC motors. The linear-quadratic-integral (LQI) controller is utilized as the baseline controller for optimal speed-regulation, accurate reference-tracking and elimination of steady-state fluctuations in the motor's response. To reject the influence of modelling errors, the LQI controller is augmented with a Lyapunov-based model reference adaptation system (MRAS) that adaptively modulates the controller gains while maintaining the asymptotic stability of the controller. To further enhance the system's robustness against parametric uncertainties, the adaptation gains of MRAS online gain-adjustment law are dynamically adjusted, after every sampling interval, using smooth hyperbolic functions of motor's speed-error. This modification significantly improves the system's response-speed and damping against oscillations, while ensuring its stability under all operating conditions. It dynamically re-configures the control-input trajectory to enhance the system's immunity against the detrimental effects of random faults occurring in practical motorized systems such as bounded impulsive-disturbances, modelling errors, and abrupt load-torque variations. The efficacy of the proposed control strategy is validated by conducting credible hardware-in-the-loop experiments on QNET 2.0 DC Motor Board. The experimental results successfully validate the superior tracking accuracy and disturbance-rejection capability of the proposed control strategy as compared to other controller variants benchmarked in this article.

关键词： model reference adaptive control LQI control Lyapunov theory hyperbolic function QNET 2.0 DC Motor Board

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modelling and simulation of the quantum ranging and positioning system

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INTERNATIONAL JOURNAL OF modelLING AND SIMULATION 2020年第6期40卷 421-435页

作者： Duan, Shiqi Cong, Shuang Zou, Zisheng Wang, Hailun Song, Yuanyuan Univ Sci & Technol China Sch Informat Sci & Technol Hefei 230027 Peoples R China

An integrated simulation model of the quantum ranging and positioning system (QRPS) is analyzed and built as a means for illustrating the inner structure and working principle of the system. The QRPS is composed of an acquisition, tracking and pointing (ATP) module and a coincidence counting module. In the ATP module, an accurately controlled position system model with noise and disturbance is built, and a model reference adaptive control (MRAC) strategy with state filtering is designed to estimate the system state, the noise and disturbance, and accurately track the position state. In the coincidence counting module the time difference of arrival (TDOA) of the entangled photon pairs is dealt with and obtained. Numerical experiments are implemented to verify the system performance. With a user-friendly interface, the model we proposed can provide theoretical guidance for system integration of the QRPS.

关键词： Quantum ranging and positioning system acquisition tracking and pointing coincidence counting model reference adaptive control

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adaptive control designed by online solving for Riccati and Lyapunov equations with nonlinear flight body

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INTERNATIONAL JOURNAL OF AUTOMATION AND control 2020年第3期14卷 304-332页

作者： Ahmed, Mohamed Fawzy Dorrah, Hassen Taher Cairo Univ Fac Engn Giza Egypt

The aim of this paper is to control the path for nonlinear missile model in the pitch channel using model reference adaptive control (MRAC) andL(1)adaptive control with linear quadratic regulator time-varying (LQRTV) strategy. Linear time-varying (LTV) model is designed where their parameters are varying with time. The nonlinear flying body,LTVmodel, and two adaptive control structures are modelled mathematically in the MATLAB-Simulink *** control is designed usingLTVmodel by online solving of Riccati Equation to get time-varying state feedback gainK(t). adaptive control structures are designed using closed loopLTVmodel by online solving of Lyapunov equation to get time-varying Lyapunov gain matrixP(t).LQRTVand Lyapunov weight matrixes are tuned by Simulink design optimisation method. The results of two adaptive controls with the nonlinear flying body are compared. The wind effect and the dynamic uncertainties are researched.

关键词： nonlinear missile model linear time-varying model LTV linear quadratic regulator time-varying LQRTV model reference adaptive control MRAC L(1)adaptive control simulink design optimisation method wind effect dynamic uncertainties

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Pressure control of cold air testing plant with delay resistant closed-loop reference model adaptive control 55

Pressure control of cold air testing plant with delay resist...

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55th AIAA Aerospace Sciences Meeting

作者： Alan, Anil Yildiz, Yildiray Poyraz, Umit Mechanical Engineering Department Bilkent University CankayaAnkara06800 Turkey Propulsion System Roketsan Missiles Inc. ElmadagAnkara06780 Turkey

ISBN: (数字)9781624104473

ISBN: (纸本)9781624104473

This paper deals with the control problem of obtaining desired gas pressure inside a control volume with constant inlet mass flow rate of cold air. Cold air flow system dynamics is similar to that of a gas generator of a throttleable ducted rocket, which sends fuel in gaseous form, with metal additives, to ram combuster with desired amount of mass flow rate to obtain variable thrust. Being able to control gas pressure in cold air flow system is a milestone towards obtaining a fully developed throttleable ducted rocket gas generator controller. In this study, a detailed modeling of the cold air test plant together with a delay resistant closed-loop reference model adaptive controller design is presented. The proposed controller is compared with several other alternatives including a classical proportional-integral controller, model reference adaptive controller and a closed- loop reference model adaptive controller that does not have explicit delay compensation. Simulation results verifying the performance improvement of the delay resistant controller over the alternatives are presented. © 2017 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： model reference adaptive control Mass Flow Rate Flow Conditions Ducted Rocket Numerical Simulation Gas Constant Characteristic Velocity Air Mass Flow Rates Solid Propellants Specific Heat

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