IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society 2010
DOI: 10.1109/iecon.2010.5675188
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Flatness based speed control of drive systems with resonant loads

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Cited by 12 publications
(8 citation statements)
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“…Such a system is shown in Figure 1. Nonlinear controllers have been proposed to control drive systems with elastic couplings, such as a sliding mode control [14][15][16][17], neural control or fuzzy sliding mode control [18,19], flatness based control [20,21], a control method based on identification allowing for robust H∞ [22], and a predictive controller with a state space model [23]. However, for a high-quality control system, these methods require knowing exactly the parameter values of the control object.…”
Section: The Nonlinear Model Of the Drive System With Elastic Couplingsmentioning
confidence: 99%
“…Such a system is shown in Figure 1. Nonlinear controllers have been proposed to control drive systems with elastic couplings, such as a sliding mode control [14][15][16][17], neural control or fuzzy sliding mode control [18,19], flatness based control [20,21], a control method based on identification allowing for robust H∞ [22], and a predictive controller with a state space model [23]. However, for a high-quality control system, these methods require knowing exactly the parameter values of the control object.…”
Section: The Nonlinear Model Of the Drive System With Elastic Couplingsmentioning
confidence: 99%
“…The tracking results are compared with 1DOF and 1DOF with feedforward controls confirm that the method exhibits robustness and load torque rejection. Due to flat property of the system, Thomsen et al [10] formulate a flatness based control for a finite stiffness coupling drive system fed by an inverter with speed feedback signal. Backstepping control is developed for a multi-motor system which is vastly found in [11] suppressing flexible coupling phenomenon in linear speed and tension control system.…”
Section: Introductionmentioning
confidence: 99%
“…Firstly, we used a flatness-based control by selecting proper system outputs. Because of the order reduction of the differential equations it is relatively easy to set the trajectory of speed and magnetic flux only in the form of a secondorder system with the time constant chosen from the current initial conditions [13][14][15][17][18][19][20]. Secondly, a control design was developed using backstepping control [16,[21][22][23].…”
Section: Introductionmentioning
confidence: 99%