Noise attenuation motivated controller design. Part I: Speed control

Huba, Mikuláš; Bélai, Igor

doi:10.1109/speedam.2014.6871949

Cited by 16 publications

(18 citation statements)

References 18 publications

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“…Similar conclusions have already been confirmed by experimental analysis of the industrial speed and positional servo drives with a disturbance observer based filtered PI and PID control [21]- [24]. As already stressed in [3], it is, however, important to remember that success in filtration dominantly depends on the sampling period used.…”

Section: B Controller Tests With Measurement Noisesupporting

confidence: 72%

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Filter choice for an effective measurement noise attenuation in PI and PID controllers

Huba

2015

2015 IEEE International Conference on Mechatronics (ICM)

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This paper shows by simulation and by a relative total variance performance measures that in control of lag dominated first order time delayed plants appropriately filtered PID control may significantly increase the loop performance with respect to filtered PI control. By analyzing the impact of higher order low pass filters designed by a modified multiple real dominant pole approach it shows that in the case of filtered PI control it may be beneficial to use a filter order n > 1. For the PID control the most interesting performance may be achieved for n > 2.

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Section: B Controller Tests With Measurement Noisesupporting

confidence: 72%

“…One may expect that by increasing the filter order n the sensitivity of the loop increases, but since also the noise attenuation increases [21]- [24], an optimum may be expected for a higher filter order than corresponds to a full roll off.…”

Section: Equivalence Of Time Delays In the Fpid Tuningmentioning

confidence: 99%

Filter choice for an effective measurement noise attenuation in PI and PID controllers

Huba

2015

2015 IEEE International Conference on Mechatronics (ICM)

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“…Simultaneously, it significantly improved noise attenuation. The theoretical results derived for an optimal speed control in [14], [15] and extended to a positional control in [16] have been recently fully confirmed by extensive experiments [17]- [20] in control of servo drives. These shown that there exists an optimal filter degree value, which is always higher than the minimal filter order imposed by the relative plant degree.…”

Section: Introductionmentioning

confidence: 71%

“…For the dead time located in the feedforward path the improvement factor achievable for the PDO FPI setpoint responses is 1.52. Experimentally measured improvements for a speed servo system with a short dead time reported in [17] are yet significantly (5 times) higher and lead to a question, if they are realistic with respect to the always present closed loop uncertainties and the corresponding system robustness.…”

Section: B Pdo Fpi Controlmentioning

confidence: 99%

“…When the specified loop performance is measured in terms of IAE (Integral of Absolute Error) values and shape related deviations from monotonic (MO), 1P, or 2P shapes [15], [17]- [20], [22], the above simple straightforward relation between robustness and performance disappears and has to be newly examined. The analysis shows on several possible robustness aspects that show to be relevant for practice.…”

Section: Introductionmentioning

confidence: 99%

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Robustness versus performance in PDO FPI Control of the IPDT plant

Huba

2015

2015 IEEE International Conference on Mechatronics (ICM)

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This paper deals with robustness evaluation of the predictive disturbance observer based filtered PI (PDO FPI) control. Robust performance of loops with integral plants, different order filters and with an uncertain dead time is examined by the performance portrait method. The analysis does not confirm the up to now accepted view that the best robustness corresponds to the 1st order filters. Features of robust performance measures in the time domain are discussed.

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