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Predictive feedforward control
2016 12th IEEE International Conference on Control and Automation (ICCA), 2016Measurable but controllable disturbances are common in industry, which drive systems away from their references and take time for feedback control to reject them, especially when the systems present input-output delays due to mechanical properties. In this paper, a novel feedforward control based on disturbance prediction is proposed.
Xian Li +4 more
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Proceedings of 1994 American Control Conference - ACC '94, 2005
Some new results in learning feedforward control are presented in this paper. The proposed procedures are applicable to processes with or without feedback control. Under the ideal situation, this discrete-time learning control (LC) scheme can perfect the task with one repeat. Convergence analyses are also included for noisy and imprecise learning.
K.M. Tao, R.L. Kosut, G. Aral
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Some new results in learning feedforward control are presented in this paper. The proposed procedures are applicable to processes with or without feedback control. Under the ideal situation, this discrete-time learning control (LC) scheme can perfect the task with one repeat. Convergence analyses are also included for noisy and imprecise learning.
K.M. Tao, R.L. Kosut, G. Aral
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Approximate feedforward control
2015 10th Asian Control Conference (ASCC), 2015Disturbances are inevitable in most control systems. They drive the systems away from their set points. It takes time for feedback control to reject them. The feedforward control offers great potentials for regulation performance if the disturbances are measurable.
null Xian Li +2 more
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Fuzzy feedforward and composite control
Transactions of the Institute of Measurement and Control, 1986The concept of fuzzy feedforward and composite control of complex, ill-defined, non-deterministic processes is offered. Fuzzy relational model of process suitable for feedforward control is developed and, using this model, the algorithms of the fuzzy feedforward and composite controls are derived.
Božičević, Juraj, Stipaničev, Darko
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2022 IEEE 61st Conference on Decision and Control (CDC), 2022
Model–based feedforward control improves tracking performance of motion systems if the model describing the inverse dynamics is of sufficient accuracy. Model sets, such as neural networks (NNs) and physics–guided neural networks (PGNNs) are typically used as flexible parametrizations that enable accurate identification of the inverse system dynamics ...
Bolderman, M. +2 more
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Model–based feedforward control improves tracking performance of motion systems if the model describing the inverse dynamics is of sufficient accuracy. Model sets, such as neural networks (NNs) and physics–guided neural networks (PGNNs) are typically used as flexible parametrizations that enable accurate identification of the inverse system dynamics ...
Bolderman, M. +2 more
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Adaptive Feedforward Aircraft Control
AIAA Infotech@Aerospace 2010, 2010In this paper we present a feedforward adaptive control scheme with application to the control of a nonlinear aircraft model with uncertainty in the aerodynamic moment coefficients. The feedforward controller is represented by a basis function network. The learning algorithm consists of a gradient based rule plus e-modification.
Abraham Ishihara +4 more
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Feedforward model predictive control
Annual Reviews in Control, 2011Abstract This paper examines the role played by feedforward in model predictive control (MPC). We contrast feedforward with preview action. The latter is standard in model predictive control, whereas feedforward has been rarely, if ever, used in contemporary formulations of MPC.
Carrasco, Diego S., Goodwin, Graham C.
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Broadband Dynamic Modification Using Feedforward Control
Volume 3B: 15th Biennial Conference on Mechanical Vibration and Noise — Acoustics, Vibrations, and Rotating Machines, 1995Abstract This paper presents a general proof of a result due to Fuller and Burdisso, that asserts that system eigenvalues can be modified using feedforward control. The original result applies to the case of steady-state harmonic excitation. This paper extends that work to allow for broadband excitation. The results apply to any flexible
Alberts, Thomas E., Pota, Hemanshu R.
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