2014
DOI: 10.1007/s00170-014-6518-8
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Accurate motion control of a servopneumatic system using integral sliding mode control

Abstract: Pneumatic systems are a simple and readily available technology that presents high force to volume ratios. Their use is nevertheless restricted to simple motion tasks, given the complexity in its modelling and control. One of the main aspects contributing to this panorama is the difficulty in accurately predicting friction forces. In fact, although it is possible to find in literature complex friction models that suit well a particular experimental set-up, its practical use becomes hindered given the diversity… Show more

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Cited by 21 publications
(6 citation statements)
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“…Noting that the output of PID and APID fully hinges on position error such that error of position and PL are inevitable. Two equations, (17) and (21), told that outcome of ADCM consists of estimated part and error part hence the decrease of amplitude attenuation and phase lag is reasonable. Accordingly, a reduction of 4.3°was found by comparing ADCM and APID.…”
Section: Figure 8 Eha Prototype Test Setupmentioning
confidence: 99%
See 1 more Smart Citation
“…Noting that the output of PID and APID fully hinges on position error such that error of position and PL are inevitable. Two equations, (17) and (21), told that outcome of ADCM consists of estimated part and error part hence the decrease of amplitude attenuation and phase lag is reasonable. Accordingly, a reduction of 4.3°was found by comparing ADCM and APID.…”
Section: Figure 8 Eha Prototype Test Setupmentioning
confidence: 99%
“…In [9], [10], and [11], fuzzy and adaptive PIDs were used to compensate for the disturbance but limited improvements were obtained for the EHA control. In addition, robust control have been used, especially the sliding mode control (SMC), which is a wellknown robust control algorithm that can be used in both linear and nonlinear systems [12][13][14][15][16][17][18][19][20][21][22]. A discrete-time sliding mode control was conducted by Yang [14] because of the high efficiency in compensating for the uncertainties in the EHA through an appropriate approach.…”
mentioning
confidence: 99%
“…where L is the gain of Kalman filter, andx is the state estimation of x.In the TSMC, very small external disturbances and parameters perturbation will cause the sliding mode control chattering [26,27]. In this situation, a large switching gain should be employed to eliminate the influence of external disturbance and uncertainties on the control performance.…”
Section: Smc Based On Lqcmentioning
confidence: 99%
“…Furthermore, the friction LuGre-based modeling makes it possible to design friction force observers that can be used for friction compensation in such controllers [5,7]. It is important to highlight that, although friction models are required in many controllers, there are also controllers obtaining good motion control results even in the absence of friction models, as, for example, [32], where a sliding mode control strategy is used.…”
Section: Introductionmentioning
confidence: 99%