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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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Event-driven model-free control in motion control with comparisons
IMA Journal of Mathematical Control and Information, 2016The event-driven model-free control is proposed in this article, which deals with the ‘trade-off’ between computational cost and system performance. Model-free controllers demand low computational resources and have high robustness, which is especially suitable for embedded systems with complex dynamics and/or affected by disturbances.
Wang, Jing +4 more
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Cooperative Adaptive Model-Free Control With Model-Free Estimation and Online Gain Tuning
IEEE Transactions on Cybernetics, 2022In this article, a distributed adaptive model-free control algorithm is proposed for consensus and formation-tracking problems in a network of agents with completely unknown nonlinear dynamic systems. The specification of the communication graph in the network is incorporated in the adaptive laws for estimation of the unknown linear and nonlinear terms,
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Modifications of Model Free Control to FOTD Plants
2018Model free control (MFC) represents one of possible alternatives to traditional approaches as PID control, disturbance observer based control (DOBC), internal model control (IMC), etc. As one of its central features one could mention use of finite-impulse-response (FIR) filters in input disturbance reconstruction.
Mikulás Huba, Tomás Huba
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Composition control for STEC plant by a model free control method
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004Because of the use of binary mixtures ammonia and water as the working fluid in STEC, if the composition of ammonia is not high enough, the working fluid may condense in the turbine, which results in a fatal damage of turbine. Since controlled variable of vapor composition has a strong nonlinear relationship with state variables vapor pressure and ...
Zhao Zhong +2 more
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Model-Free Learning Control for processes with constrained incremental control
2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006This paper proposes a technique to design controllers for systems with constrained incremental control and input-output constraints called Model-Free Learning Control (MFLC). MFLC, which is based on Reinforcement Learning algorithms, is a simple approach without needing precise detailed information of the system.
S. Syafiie, F. Tadeo, E. Martinez
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A Revisit to Model-Free Control
IEEE Transactions on Power Electronics, 2022Wanrong Li +3 more
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Model-Free Optimal Control: A Critical Analysis
2017In this note, we present a critical analysis of machine learning techniques for applications involving optimal (feedback) control. Specifically, we will focus on the question of using reinforcement learning and other similar techniques in providing provably stable optimal controllers.
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Hybrid Model-Free and Model-Free Adaptive Fuzzy Controllers
2021Radu-Emil Precup +2 more
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