A survey of model reference adaptive techniques—Theory and applications

Landau, Ioan Doré

doi:10.1016/0005-1098(74)90064-8

Cited by 334 publications

(48 citation statements)

References 70 publications

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“…A difficulty with this approach is showing that the linear, time-invariant design characteristic is maintained throughout the state space when using the time-variant control law. A heuristic method that is commonly used to simplify the stability analysis relies on utilizing a 16 …”

Section: Nonlinear System Control Theorymentioning

confidence: 99%

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A control system design technique for nonlinear discrete time systems

DeLonga¹

1989

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Section: Nonlinear System Control Theorymentioning

confidence: 99%

“…The difficulty lies in the fact that the adaptation laws are a function of the system state and thus the resultant closed loop system is nonlinear even if the plant itself is linear. Some surveys of early work and classical references can be found in [14][15][16][17][18][19][20][21].…”

Section: Adaptive System Control Theorymentioning

confidence: 99%

A control system design technique for nonlinear discrete time systems

DeLonga¹

1989

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“…It employs a reference model to generate a reference output. The adaptive laws, derived by means of the Lyapunov stability theory, modify the parameters of the controller without the necessity of a sufficiently exciting system input signal [21]. There have been some promising research reports on the application of the MRAC method to motion control systems.…”

Section: Introductionmentioning

confidence: 99%

Speed Control for a PMSM Servo System Using Model Reference Adaptive Control and an Extended State Observer

Li¹,

Li²

2014

Journal of Power Electronics

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In this paper, the speed regulation problem of permanent synchronous motor (PMSM) systems under the vector control framework is studied. A model reference adaptive controller (MRAC) based on the Lyapunov stability theory is first designed. Since the standard MRAC method provides poor disturbance rejection performance in the case of strong disturbances, a composite control method which combines the MRAC method and the disturbance estimation method, called the MRAC+ESO method, is proposed. An extended state observer (ESO) is introduced to estimate the lumped disturbances. The obtained estimated value acts as a feedforward compensation term to the MRAC controller. A stability analysis of the composite control method is given. Simulation and experimental results are presented and compared to show the effectiveness of the proposed control method.

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“…Here, the choice of J may vary depending on the strategy usede.g. it is a correlation function in correlation-based tuning (Karimi et al, 2004), the closed-loop output error in model reference adaptive control (Landau, 1974), or a general performance criterion that is a weighted sum of subcriteria (e.g. tracking error or control effort) in iterative feedback tuning (Hjarmarsson et al, 1998) or extremum-seeking methods (Killingsworth and Krstić, 2006).…”

Section: Introductionmentioning

confidence: 99%

Iterative Controller Tuning by Real-Time Optimization

Bunin

François

Bonvin

2013

IFAC Proceedings Volumes

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The present article looks at the problem of iterative controller tuning, where the parameters of a given controller are adapted in an iterative manner to bring the user-defined performance metric to a local minimum for some repetitive process. Specifically, we cast the controller tuning problem as a real-time optimization (RTO) problem, which allows us to exploit the available RTO theory to enforce both convergence and performance guarantees. We verify the effectiveness of the proposed methodology on an experimental torsional system and note that the results are particularly promising considering the simplicity of the method.

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A survey of model reference adaptive techniques—Theory and applications

Cited by 334 publications

References 70 publications

A control system design technique for nonlinear discrete time systems

A control system design technique for nonlinear discrete time systems

Speed Control for a PMSM Servo System Using Model Reference Adaptive Control and an Extended State Observer

Iterative Controller Tuning by Real-Time Optimization

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