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检索条件"主题词=Model Reference Adaptive Control"

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Optimal Consensus control of Unknown Nonlinear Multi-Agent Systems Using adaptive Dynamic Programming via MRAC 37

Optimal Consensus Control of Unknown Nonlinear Multi-Agent S...

引用

37th Chinese control Conference (CCC)

作者： Fu, Hao Chen, Xin Wang, Wei Li, Jinbin Zhang, Yaodong China Univ Geosci Sch Automat Wuhan 430074 Hubei Peoples R China Hubei Key Lab Adv Control & Intelligent Automat C Wuhan 430074 Hubei Peoples R China State Grid Hubei Elect Power Res Inst Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9789881563958

This paper introduces an optimal consensus control scheme for nonlinear multi-agent systems with completely unknown dynamics. In general, it is difficult to solve the coupled Hamilton-Jacobi-Bellman (HJB) equations, which the optimal consensus control relies on in multi-agent systems, especially unknown nonlinear systems. For the purpose of solving the problem, we propose an optimal consensus control approach based on the model reference adaptive control (MRAC) and adaptive dynamic programming (ADP). Using the structure of the diagonal recurrent neural network, the identifier and controller are devised to achieve MRAC for every plant of the unknown nonlinear systems, i.e. the reference model serves as a dynamic model of each individual agent. Then, according to reference models of distributed agents, an adaptive dynamic programming (ADP) is introduced to approximate the solution of the coupled HJB equations.

关键词： Multi-agent systems optimal consensus model reference adaptive control adaptive dynamic programming

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adaptive control of Dynamical Systems with Unstructured Uncertainty and Unmodeled Dynamics

Adaptive Control of Dynamical Systems with Unstructured Unce...

引用

American control Conference

作者： K. Merve Dogan Tansel Yucelen Jonathan A. Muse Laboratory for Autonomy Control Information and Systems (LACIS) University of South Florida Tampa FL 33620 USA Director of the Laboratory for Autonomy Control Information and Systems (LACIS) University of South Florida Tampa FL 33620 USA Research Aerospace Engineer of the Autonomous Control Branch Air Force Research Laboratory Aerospace Systems Directorate WPAFB OH 45433 USA

ISBN: (纸本)9781538679012;9781538679265

model reference adaptive control of dynamical systems with unstructured system uncertainties and unmodeled dynamics is considered in this paper. Specifically, a stability tradeoff for this class of dynamical systems is shown first. With the goal of relaxing the resulting stability tradeoff, adaptive robustifying terms are designed next. The key aspect of the proposed relaxation procedure is that the proposed terms guarantee closed-loop system stability even with respect to significant system uncertainties, subject to unmodeled dynamics satisfying a condition. An illustrative numerical example is further given to demonstrate our theoretical findings.

关键词： unmodeled dynamics DYNAMICAL SYSTEMS system uncertainties adaptive control model reference adaptive control tradeoffs

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adaptive control method for core power control in TRIGA Mark II reactor

Adaptive control method for core power control in TRIGA Mark...

引用

International Nuclear Science, Technology and Engineering Conference (iNuSTEC)

作者： Minhat, Mohd Sabri Selamat, Hazlina Subha, Nurul Adilla Mohd Agensi Nuklear Malaysia Reactor Elect Instrumentat & Control Sect Reactor Technol Ctr Kajang 43000 Malaysia Univ Teknol Malaysia Control & Mechatron Engn Dept Fac Elect Engn Skudai 81310 Malaysia

The 1MWth Reactor TRIGA PUSPATI (RTP) Mark II type has undergone more than 35 years of operation. The existing core power control uses feedback control algorithm (FCA). It is challenging to keep the core power stable at the desired value within acceptable error bands to meet the safety demand of RTP due to the sensitivity of nuclear research reactor operation. Currently, the system is not satisfied with power tracking performance and can be improved. Therefore, a new design core power control is very important to improve the current performance in tracking and regulate reactor power by control the movement of control rods. In this paper, the adaptive controller and focus on model reference adaptive control (MRAC) and Self-Tuning control (STC) were applied to the control of the core power. The model for core power control was based on mathematical models of the reactor core, adaptive controller model, and control rods selection programming. The mathematical models of the reactor core were based on point kinetics model, thermal hydraulic models, and reactivity models. The adaptive control model was presented using Lyapunov method to ensure stable close loop system and STC Generalised Minimum Variance (GMV) controller was not necessary to know the exact plant transfer function in designing the core power control. The performance between proposed adaptive control and FCA will be compared via computer simulation and analysed the simulation results manifest the effectiveness and the good performance of the proposed control method for core power control.

关键词： Core Power control adaptive control model reference adaptive control Self-Tuning Generalised Minimum Variance controller Reactor TRIGA PUSPATI

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adaptive Augmentation of an Unmanned Aerial Vehicle's Flight control System 37

Adaptive Augmentation of an Unmanned Aerial Vehicle's Flight...

引用

IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)

作者： Vlk, Jan Chudy, Peter Brno Univ Technol Fac Informat Technol Brno Czech Republic

ISBN: (纸本)9781538641125

The proposed paper introduces the design of an adaptive augmentation of an Unmanned Aerial Vehicle's (UAV) Flight control System (FCS). A Linear Quadratic Regulator (LQR) algorithm has been employed as a base-line control strategy and enhanced with an adaptation loop based on a model reference adaptive control (MRAC) technique.

关键词： adaptive control aircraft control hedging control laws dynamic model flight control system fixed wing linear quadratic regulator Lyapunov stability model reference adaptive control simulation state-space model unmanned aerial vehicle

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PSO-Based PI controller for Speed Sensorless control of PMSM 1

PSO-Based PI Controller for Speed Sensorless Control of PMSM

引用

1st International Conference on Green and Sustainable Computing (ICoGeS)

作者： Nazelan, A. M. Osman, M. K. Samat, A. A. A. Salim, N. A. Univ Teknol Mara Fac Elect Permatang Pauh 13500 Pulau Pinang Malaysia

In the controlling three phase AC motor especially permanent magnet synchronous motor (PMSM), good controller is required to achieved the desired target of speed. This paper presents a comparison among different technique of speed and position estimation by using Proportional and Integral controller (PI) tune by using Heuristic, MATLAB PID auto tuner and Particle Swarm Optimization (PSO) method of sensorless control for PMSM. The reason of this study is to identify which method can produce better result. Simulation that have been conducted by using PSO optimization technique h produced better result than the conventional controller in terms of system parameter such as rise time (Tr), settling time (Ts), percent overshoot (%Os), percent undershoot (% Us) and root mean square error (RMSE) of PMSM.

关键词： Permanent Magnet Synchronous Motor PI controller Particle Swarm Optimization Artificial Neural Network model reference adaptive control

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Closed Loop Operation of Induction Machine using MRAS based Sensorless Scheme

Closed Loop Operation of Induction Machine using MRAS based ...

引用

International Conference on Power Electronics, control and Automation (ICPECA)

作者： Arif Iqbal M. Aslam Husain Department of Electrical Engineering Rajkiya Engineering College Ambedkar Nagar Akbarpur India

ISBN: (纸本)9781728139593

Sensorless control of electrical machines are now extensively used not only in motoring mode but also preferred in power generation due to its smaller size with lower maintenance and cost. This requires the sensorless control scheme for speed estimation to be investigated extensively in various aspects. Therefore, the paper presents the performance evaluation of closed loop model reference adaptive system (MRAS) based sensorless scheme for speed estimation in induction machine drive using field oriented control. Operation of induction machine drive has been investigated for parametric variation and current harmonic content in both generating and motoring mode in MATLAB/Simulink environment.

关键词： Induction machine Sensorless control model reference adaptive system (MRAS) Field oriented control Induction machines machine vector control Sensorless control MRAS gene Sensors Speed Estimation Automobile driving parameter variation model reference adaptive control Performance Evaluation

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An adaptive Haptic Aid System based on Desired Pilot Dynamics

An Adaptive Haptic Aid System based on Desired Pilot Dynamic...

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American control Conference

作者： Antonio Arenella Giulia D'Intino Heinrich H. Bulthoff Lorenzo Pollini University of Pisa Pisa Largo Lucio Lazzarino 1 Italy Max Planck Institute for Biological Cybernetics Tubingen 72076 Germany

ISBN: (纸本)9781538679012;9781538679265

This work proposes an adaptive Haptic Aid system that adapts the amount of provided aid based on actual pilot performance. This is achieved by parameterizing the haptic system and adjusting the parameters on-line to match a desired closed loop performance. The parameters of the haptic aid are adjusted using a technique known as model reference adaptive control (MRAC), which has been widely studied in past years and applied to automatic control of plants with unknown dynamics. Simulations and experimental tests with naive and expert pilots show that the proposed adaptive Haptic Aid system represents a promising solution for haptic aid design.

关键词： aid system pilot performance Plant control kinetic simulation automatic control model reference adaptive control adjustable parameter Pilots Self tuning experimental test

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adaptive control System Design for Two-Wheeled Robot Stabilization 12

Adaptive Control System Design for Two-Wheeled Robot Stabili...

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12th Symposium of the South-East-Asian-Technical-University-Consortium (SEATUC) - Engineering Education and Research for Sustainable Development

作者： Uddin, Nur Univ Pembangunan Jaya Dept Informat Tangerang Selatan 15413 Banten Indonesia

ISBN: (纸本)9781538650943

A design of two-wheeled robot (TWR) stabilization system using model reference adaptive control (MRAC) method is presented. A TWR is a statically-unstable non-linear system that requires an active stabilization system to operate. The active stabilization system is a state feedback control system. MRAC is applied to design the TWR active stabilization system. MRAC is an adaptive control scheme which has an adaptation mechanism to make a plant as a control object to behave following a reference model. Performance of the designed stabilization system is demonstrated through computer simulation. The simulation results show that the designed system is able to stabilize the TWR and even when some disturbances are presented.

关键词： Two-wheeled robot self-balancing robot adaptive control model reference adaptive control disturbance rejection

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adaptive Strategy for Commercial Aircraft with OFC Fault

Adaptive Strategy for Commercial Aircraft with OFC Fault

引用

IEEE CSAA Guidance, Navigation and control Conference (CGNCC)

作者： Xiang, Jiaqi Zhang, Shijie Liu, Yishi Ren, Zhang Beihang Univ Sci & Technol Aircraft Control Lab Beijing 100083 Peoples R China

ISBN: (纸本)9781538611715

If a fault occurs in flight control system of commercial aircraft, it will lead to a catastrophic consequence. So, it is necessary to establish an effective fault tolerant control(FTC). In this paper, an adaptive FTC was proposed. First, we built a fault aircraft model with actuator faults and introduced the Oscillatory Failure Case(OFC) fault. Then an adaptive FTC was designed which applied the method of model reference adaptive control. Finally, we established a commercial aircraft model of B747 and verified the performance of the adaptive strategy through simulation.

关键词： model reference adaptive control

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L1 adaptive control of the Stewart-Gough Flight Simulator Platform in the Task Space

L1 Adaptive Control of the Stewart-Gough Flight Simulator Pl...

引用

IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

作者： Jiangwei Zhao Dongsu Wu Hongbin Gu College of Civil Aviation Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9781728125992

This paper presents an L 1 adaptive control methodology of the Stewart-Gough flight simulator platform in the task space. The controller has a low-pass filter in feedback-loop to avoid high frequencies in the control signals, and the required transient performance can be enhanced by increasing the adaptive gain, which can improve the transient and smoothness of flight simulator platform. The performance of L 1 adaptive controller is obtained by comparing with traditional model reference adaptive controller (MRAC). And some additional simulations are carried out to show the performance of the controller.

关键词： L_1 adaptive control Stewart Gough Flight simulator MRAC model reference adaptive control Task space flight simulators control SIGNAL simulator flight adaptive control Platform adaptive controller controllers

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