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Proportional control

About: Proportional control is a research topic. Over the lifetime, 3756 publications have been published within this topic receiving 49050 citations.


Papers
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Patent
20 Feb 1996
TL;DR: A gated proportional control valve for high-flow proportional dispensing and precision low flow is described in this paper, where the gate valves can alternatively be opened or closed to allow proportional dispatching or valve closure.
Abstract: A gated proportional control valve is disclosed which allows both high-flow proportional dispensing and precision low flow. The design includes one or more controlled diameter and controlled-shape orifices in the control path, which, when both of the gate valves are opened, allow for consistent low flow dispensing. The gate valves can alternatively be opened or closed to allow proportional dispensing or valve closure. The invention is particularly useful in a fuel dispensing apparatus.

25 citations

Journal ArticleDOI
TL;DR: In this paper, a single mass flexible rotor on damped flexible supports with active feedback control is considered and free vibrations and unbalance response of the rotor-control system are determined.
Abstract: This paper considers vibration control of a single mass flexible rotor on damped flexible supports with active feedback control. Both proportional and derivative feedback control are utilized. Free vibrations and unbalance response of the rotor-control system are determined. The effect of proportional control is to increase the critical speed of rotating machinery while the effect of derivative control is to reduce the amplitude of vibration. Generally larger ratios of support stiffness to shaft stiffness require larger values of control parameters to produce given amplitudes of vibration.

25 citations

Proceedings ArticleDOI
24 Apr 2000
TL;DR: It is shown that the controller is able to deal with the uncertainties of the robot which include modelled undertainties (dynamic parameter uncertainties, etc.) as well as unmodelled uncertainties (frictions, etc).
Abstract: A neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in the robot dynamics. Training signals are proposed for the feedforward neural network controller. The neural network weights are tuned online, with no online learning phase required. It is shown that the controller is able to deal with the uncertainties of the robot which include modelled undertainties (dynamic parameter uncertainties, etc.) as well as unmodelled uncertainties (frictions, etc.). The suggested controller is simple in structure and can be implemented easily. The controller has the proportional-integral (PI) type force feedback control structure with a low proportional force feedback gain. Detailed experimental results show the effectiveness of the proposed controller.

25 citations

Journal ArticleDOI
TL;DR: The proposed state-based method could be a suitable alternative for commercial myoelectric devices, providing reliable and intuitive control of two DoFs, and to achieve precise force control in grasping.
Abstract: Current clinical myoelectric systems provide unnatural prosthesis control, with limited functionality. In this study, we propose a proportional state-based control method, which allows switching between functions in a more natural and intuitive way than the traditional co-contraction switch method. We validated the ability of the proposed system to provide precise control in both position and velocity modes. Two tests were performed with online visual feedback, involving target reaching and direct force control in grasping. The performance of the system was evaluated both on a subject with limb deficiency and in 9 intact-limbed subjects, controlling two degrees of freedom (DoF) of the hand and wrist. The system allowed completion of the tasks involving 1-DoF with task completion rate >96% and of those involving 2-DoF with completion rate >91%. When compared with the clinical/industrial state-of-the-art approach and with a classic pattern recognition approach, the proposed method significantly improved the performance in the 2-DoF tasks. The completion rate in grasping force control was >97% on average. These results indicate that, using the proposed system, subjects were successfully able to operate two DoFs, and to achieve precise force control in grasping. Thus, the proposed state-based method could be a suitable alternative for commercial myoelectric devices, providing reliable and intuitive control of two DoFs.

25 citations

Journal ArticleDOI
TL;DR: In this paper, active control of the resistive wall modes (RWMs) is analyzed for the feedback system with internal correction coils (ICs) using a single mode thin-wall model in the cylindrical approximation and proportional control.
Abstract: Active control of the resistive wall modes (RWMs) is analysed for the feedback system with internal correction coils (ICs) The analysis is performed using a single mode thin-wall model in the cylindrical approximation and proportional control Three cases are considered: with radial field sensors, poloidal field sensors inside the vessel and poloidal sensors outside It is shown that, within the model, the systems with such sensors and proportional feedback have similar characteristics The feedback systems with internal and external correction coils are compared and advantages of the IC system are shown

25 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20237
202217
202162
2020110
2019150
2018150