2016
DOI: 10.1109/tmech.2015.2496343
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Constrained Optimal Preview Control of Dual-Stage Actuators

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Cited by 25 publications
(12 citation statements)
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“…As a typical regulator method, the linear quadratic regulator optimal control is a powerful technique for designing preview controllers [8][9][10]. In [8], a preview-based linear quadratic design method was investigated for reference-tracking motion control.…”
Section: Introductionmentioning
confidence: 99%
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“…As a typical regulator method, the linear quadratic regulator optimal control is a powerful technique for designing preview controllers [8][9][10]. In [8], a preview-based linear quadratic design method was investigated for reference-tracking motion control.…”
Section: Introductionmentioning
confidence: 99%
“…In [9], a preview control using a feedforward-imperfect forecast measurement of a disturbance signal was proposed, in the context of discrete-time linear quadratic Gaussian control. In [10], the constrained optimal preview control of dual-stage actuators was proposed, and the problem was solved in terms of quadratic programming. In [11], using the reference and disturbance signal preview information, an optimal feed-forward preview controller was presented for single-input single-output systems.…”
Section: Introductionmentioning
confidence: 99%
“…In [8], to track triangular reference, the LQR optimal control with preview compensation for a dual-stage actuator system was proposed. In [9], the constrained optimal preview control of dual-stage actuators was proposed and the problem was solved in terms of quadratic programming providing an optimal solution with respect to a quadratic criterion. In [10], by using the reference and disturbance signal's preview information to calculate the control input, an optimal feed-forward preview controller was presented for single-input single-output systems.…”
Section: Introductionmentioning
confidence: 99%
“…In past years, this was not a solution typically implemented in mechatronic systems, due to the high computational burden that optimization problems usually carry with them. However, thanks to recent developments in optimization algorithms (especially in the field of convex optimization [19]) and to the availability of more powerful microprocessors, the application of embedded optimization in mechatronics and robotics is becoming a reality, as testified, among others, in the recent works [20]- [24]. This paper introduces a framework for constraint-aware real-time SPM position control: the main objective is to acquire an external reference orientation for the top mobile platform of the manipulator, and then track it while avoiding self-collisions and singular configurations.…”
Section: Introductionmentioning
confidence: 99%