Iterative Feedback Tuning of Controllers for a Two-Mass Spring System with Friction

Hamamoto, Kenichi; Fukuda, Takahiro; Sugie, Toshiharu

doi:10.5687/iscie.14.78

Cited by 8 publications

(10 citation statements)

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“…(1) In [5] the algorithm was shown to be very successful in controlling the mass-spring system's position under heavy friction where a two degree of freedom IFT controller was applied to a servo system. Two strategies were adopted in order to deal with this heavy friction: The one was to separate the tuning of the feedback and feed forward controllers and the other was to employ the Broyden-Fletcher-Glodfard-Shanno (BFGS) method as a quasi-Newton method in a parameter update law.…”

Section: Ift and Muc Applicationsmentioning

confidence: 99%

Investigations into Implementation of an Iterative Feedback Tuning Algorithm into Microcontroller

Himunzowa

2009

Advanced Techniques in Computing Sciences and Software Engineering

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Section: Ift and Muc Applicationsmentioning

confidence: 99%

Investigations into Implementation of an Iterative Feedback Tuning Algorithm into Microcontroller

Himunzowa

2009

Advanced Techniques in Computing Sciences and Software Engineering

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“…Then, IFT was adopted in electromechanical system to get the optimal controller parameters. Hamamotoa et al 11 presented a two-degree-of-freedom (DOF) controller tuning for two-mass-spring systems with friction based on the IFT. Karimi et al 12 tuned the controller of a magnetic suspension system iteratively for the purpose of making the output error between the designed and achieved closed-loop systems uncorrelated with the reference signal.…”

Section: Introductionmentioning

confidence: 99%

Iterative tuning notch filter for suppressing resonance in ultra-precision motion control

Teng

Zhang

et al. 2016

Advances in Mechanical Engineering

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In this article, a practical iterative algorithm for tuning the parameters of notch filter is presented to suppress highfrequency resonance in ultra-precision motion control. Notch filter is a useful tool to suppress middle-and highfrequency resonance to improve control precision. The traditional tuning method for it depends on the Fourier transform of the positioning error or the modal analysis of the motion stage, which cannot get the optimal control performance. The proposed algorithm can be used to tune the parameters of notch filter iteratively through minimizing a cost function of the positioning error, and it needs only measurement signals in actual motion system rather than detailed model of the motion stage. The proposed algorithm can suppress mechanical resonance and meanwhile minimize positioning error, which are demonstrated by experimental results in wafer stage of photolithography.

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“…For unbiased gradient estimates, IFT requires three experiments per parameter update [12][13][14] whilst the method proposed in this paper uses one. Moreover, IFT is based on linear (or at least linearized [8]) closed-loop model relations that are not applicable in the closed-loop switching system. In terms of wafer stage feedforward control a combined model/data-based approach in closed-loop parameter optimization is considered in [22].…”

Section: Introductionmentioning

confidence: 99%

Self-tuning of a switching controller for scanning motion systems

Heertjes

Nijmeijer

2012

Mechatronics

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a b s t r a c tFor a class of switching motion control systems, in particular scanning stage systems, a self-tuning method is proposed to find the optimal switching control parameters. In this method, a combined model/data-based approach is used to derive the gradients with respect to these parameters. The gradients are used in an update scheme which subsequently renders an updated set of parameters. Each set is applied to the machine while operating under closed-loop conditions. By repeating the process, the switching control parameters show convergence to an optimized set of values that induce servo performance inaccessible to linear control. This is because high-gain feedback is incidentally switched on to suppress large amplitude oscillations and is otherwise switched off to avoid amplification of small amplitude noises. In time-domain this gives improved low-frequency disturbance rejection properties with minimal deterioration of the sensitivity to high-frequency noises. Stability and convergence of the switching control system and optimization scheme in the face of perturbations is proved using Lyapunov analysis. Servo performance is demonstrated on a commercial and nano-positioning scanning motion system.

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Iterative Feedback Tuning of Controllers for a Two-Mass Spring System with Friction

Cited by 8 publications

References 0 publications

Investigations into Implementation of an Iterative Feedback Tuning Algorithm into Microcontroller

Investigations into Implementation of an Iterative Feedback Tuning Algorithm into Microcontroller

Iterative tuning notch filter for suppressing resonance in ultra-precision motion control

Self-tuning of a switching controller for scanning motion systems

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