This paper presents an additive manufactured beam flexure-based XY positioning stage with spatial redundant *** order to restrict rotational error motions of the guidance module,a spatial redundant constraint is *** a...
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ISBN:
(纸本)9781509009107
This paper presents an additive manufactured beam flexure-based XY positioning stage with spatial redundant *** order to restrict rotational error motions of the guidance module,a spatial redundant constraint is *** additive manufacturing technique is adopted to monolithically fabricate the proposed positioning *** simulation results show that the proposed XY positioning stage is capable to achieve ±2 x 2 mm2 working *** fabricated prototyping stage shows that the advanced manufactured flexure mechanism can achieve good geometric effect and could be a good alternative to a metal-based flexure mechanism.
The paper concerns an application of genetic-fuzzy systems to automatic tuning of a fuzzy meta-model for evacuation speed estimation. The paper first covers some basic facts concerning evacuation in road tunnels and i...
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ISBN:
(纸本)9781509018352
The paper concerns an application of genetic-fuzzy systems to automatic tuning of a fuzzy meta-model for evacuation speed estimation. The paper first covers some basic facts concerning evacuation in road tunnels and its simulation. It then proceeds to discuss the basics of genetic-fuzzy systems and proposes an evolutionary approach for automatic tuning of said meta-model. The approach is verified experimentally and the resulting error metrics are presented.
This paper presents an approach to a process time optimization in reduced order Iterative Learning control (ILC) which can handle nonlinear iterative/periodic systems and nonlinear disturbances/constraints. The reduce...
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ISBN:
(纸本)9781509007561
This paper presents an approach to a process time optimization in reduced order Iterative Learning control (ILC) which can handle nonlinear iterative/periodic systems and nonlinear disturbances/constraints. The reduced order approach leads to a simplified ILC structure and a decreased storage demand/calculation effort. The method is based on a Model Predictive control (MPC) approach and solves a tracking error optimization problem. In addition, an algorithm to minimize the process time is integrated in the ILC design. The approach is tested on a ball balancing platform where a periodic race course is tracked by a ball using servo motors as actuators for tilting.
The two-user linear deterministic interference channel (LD-IC) with noisy channel-output feedback is fully described by six parameters that correspond to the number of bit-pipes between each transmitter and its corres...
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This paper presents a survey of different control methods deployed for spacecraft attitude control with a focus on strengths, weaknesses and opportunities for improvement. Common methods discussed include Sliding Mode...
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This paper presents a survey of different control methods deployed for spacecraft attitude control with a focus on strengths, weaknesses and opportunities for improvement. Common methods discussed include Sliding Mode control (SMC), Unscented Kalman Filter (UKF) and Adaptive control. Common challenges are the disturbances and uncertainties in space and produced by the spacecraft. This overview is used as a foundation for proposing useful research directions for developing improved control methods for the spacecraft attitude and orientation, with core requirements being low cost, robustness, precision, high efficiency and low computational load. The paper also summarises key actuation types used for satellite orientation, magnetics actuator and reaction wheels actuator, as the control strategy deployed, robustness and performance have strong links to the actuation.
The Butterworth filter is known to have maximally flat response. Incidentally, the same response is desired in precise positioning systems. This paper presents a method for obtaining a closed-loop Butterworth filter p...
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In many system identification methods, process model parameters are considered stochastic variables. Several methods do not only yield expectations of these, but in addition their variance, and sometimes higher moment...
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ISBN:
(纸本)9781467386838
In many system identification methods, process model parameters are considered stochastic variables. Several methods do not only yield expectations of these, but in addition their variance, and sometimes higher moments. This paper proposes a method for robust synthesis of the proportional-integral-derivative (PID) controller, taking parametric process model uncertainty explicitly into account. The proposed method constitutes a stochastic extension to the well-studied minimization of integrated absolute error (IAE) under H_∞-constraints on relevant transfer functions. The conventional way to find an approximate solution to the extended problem is through Monte Carlo (MC) methods, resulting in high computational cost. In this work, the problem is instead approximated by a deterministic one, through the unscented transform (UT), and its conjugate extension (CUT). The deterministic approximations can be solved efficiently, as demonstrated through several realistic synthesis examples.
The paper deals with two analysis methods which can provide enough information regarding functional steadiness of electric drives using AC motors: frequential analysis method (determine the content of harmonics of the...
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The paper deals with two analysis methods which can provide enough information regarding functional steadiness of electric drives using AC motors: frequential analysis method (determine the content of harmonics of the electric specific curves), and fractal analysis method (determine the fractal dimension of specific curves of time variation). The paper shows the complementarity of the two methods and the validity of the new method suggested (fractal analysis/fractal dimension) through the non-contradictory nature concerning the influence of any disturbance on the driving system functional steadiness.
Recent publications on multilevel converters show different topologies and control to obtain an improvement in the sinusoidal current waveform, controlling de DC voltage and the active/reactive power. This paper prese...
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ISBN:
(纸本)9781538639184
Recent publications on multilevel converters show different topologies and control to obtain an improvement in the sinusoidal current waveform, controlling de DC voltage and the active/reactive power. This paper presents a 27-level asymmetric multilevel converter for photovoltaic injection using a predictive control algorithm that commands the three-phase converter to control the active power injected to the grid. The analyses include the detailed description of the converter valid states as well as the discrete time model of the equivalent circuit. The control strategy considers a master linear controller in charge to track the Maximum Power Point and a slave loop that includes a predictive controller, which is responsible of the current tracking. The proposal is validated through simulated results that illustrates the dynamic behavior of the converter under irradiance changes.
—In today’s cyber-enabled smart grids, high penetration of uncertain renewables, purposeful manipulation of meter readings, and the need for wide-area situational awareness, call for fast, accurate, and robust power...
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