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Model-free adaptive control of evaporators
IEEE Industry Applications on Dynamic Modeling Control Applications for Industry Workshop, 2002This paper describes the application of an evaporator control system using a multivariable model-free adaptive (MFA) controller. The concept of model-free adaptive control is introduced. The system structure and commissioning steps are discussed. The successful application of controlling this severely coupled nonlinear multivariable process shows the ...
G. Cheng +2 more
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Design of Model Free Adaptive Controller for PMSM Speed Control
2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2019In order to gain favorable control performance of permanent magnet synchronous motor (PMSM) drive system in the presence of structural perturbation and load disturbance, model free adaptive control (MFAC) method is introduced in the design of speed controller, since it only relies on the input and the output measurement data of the controlled plant ...
Ye Zhao, Wei Zhang, Xinbing Wu
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On Model-Free Adaptive Control and Its Stability Analysis
IEEE Transactions on Automatic Control, 2019In this paper, the main issues of model-based control methods are first reviewed, followed by the motivations and the state of the art of the model-free adaptive control (MFAC). MFAC is a novel data-driven control method for a class of unknown nonaffine nonlinear discrete-time systems since neither explicit physical model nor Lyapunov stability ...
Zhongsheng Hou, Shuangshuang Xiong
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Model-free adaptive (MFA) control
Computing and Control Engineering, 2004Since its introduction in 1997, model-free adaptive control products have been widely deployed in most major process industries and achieved significant economical benefits for the users. It is the only 'no model' advanced controller on the market that can control complex systems without the need to use first-principle mathematical models or ...
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Active stabilization of a microgrid using model free adaptive control
2017 IEEE Industry Applications Society Annual Meeting, 2017At present, almost all the control methods for linear and nonlinear systems are model based. Nowadays, with the developments of technology many industrial processes have been undergone significant changes and process of systems have been more complicated.
Saeid Aghaei Hashjin +1 more
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Model-Free Adaptive Switching Control of Time-Varying Plants
IEEE Transactions on Automatic Control, 2013This paper addresses the problem of controlling an uncertain time-varying plant by means of a finite family of candidate controllers supervised by an appropriate switching logic. It is assumed that, at every time, the plant consists of an uncertain single-input/single output linear system.
BATTISTELLI, GIORGIO +3 more
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Adaptive model-free control for robotic manipulators
2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), 2017In this paper, a model-free control policy for tracking problem in robotic manipulators with any numbers of degree-of-freedom (DOF) is proposed. Here, it is assumed that the dynamics of manipulators contains bounded unknown nonlinearities and external disturbances.
Ali Safaei +2 more
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Derivative-Free Model Reference Adaptive Control
Journal of Guidance, Control, and Dynamics, 2010A derivative-free, delayed weight update law is developed for model reference adaptive control of continuous-time uncertain systems, without assuming the existence of constant ideal weights. Using a Lyapunov―Krasovskii functional it is proven that the error dynamics are uniformly ultimately bounded, without the need for modification terms in the ...
Tansel Yucelen, Anthony Calise
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Ripple-free model reference adaptive control
29th IEEE Conference on Decision and Control, 1990It is shown how to change the primary control structure of a model reference adaptive control (MRAC) scheme from the usual minimum settling time-type algorithm to a ripple-free response control (RFRC) scheme. RFRC does not try to compensate process zeros, avoiding ringing effects (like intersampling ripple). The main issue in the derivation of the RFRC-
H. Butler, G. Honderd, A.R.M. Soeterboek
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