Topic
Proportional control
About: Proportional control is a research topic. Over the lifetime, 3756 publications have been published within this topic receiving 49050 citations.
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TL;DR: In this article, the use of both open and closed-loop flow control over a cylindrical turret was explored to reduce the adverse effects of turbulence in airborne optical systems, and a series of experiments were performed at a Reynolds number of 2 10, based on the turret's diameter and freestream velocity, which corresponds to aMach number of 0.3.
Abstract: A large percentage of the losses in performance and effectiveness of airborne optical systems are caused by turbulence. In an effort to reduce these adverse effects in airborne optical systems, we are exploring the use of both openand closed-loop flow control over a cylindrical turret. A series of experiments were performed at a Reynolds number of 2 10, based on the turret’s diameter and freestream velocity, which corresponds to aMach number of 0.3. The three-dimensional turret contained an actuation system that consists of 17 synthetic jets placed upstream from the leading edge of the aperture. Initially, a large database containing no control and open-loop control was obtained. These data sets provide a rich ensemble for the development and application of a simple proportional closed-loop control with the use of proper orthogonal decomposition. Surface pressuremeasurements were acquired across the aperture region for all cases studied. Results from the open-loop test demonstrate a reduction of 19.6% in the root-mean-square values when compared to the baseline case. The closed-loop flow control results show that the root-mean-square pressure fluctuations are reduced by 25.7%, the integral scales are significantly reduced, and the flow is driven toward homogeneity.
23 citations
TL;DR: In this paper, a non-linear method, iterative learning control (ILC), is proposed to control the electro-hydraulic feeding process of a new slotting machine, which attempts to acquire high precision of feeding length and trapezoid feedrate, whereas the complexity of ILC does not increase much more than that of industrial PID controller.
Abstract: A non-linear method, iterative learning control (ILC), is proposed to control the electro-hydraulic feeding process of a new slotting machine. The method attempts to acquire high precision of feeding length and trapezoid feedrate, whereas the complexity of iterative learning control algorithm does not increase much more than that of industrial PID controller. After an analysis of the two-way proportional feeding system, a non-linear dynamical mathematic model with system delay, saturation and dead-zone is developed. The computer flowrate control and the ILC controller are investigated in detail. PID controller, ILC of displacement and ILC of feedrate are compared with the dynamical model under the same desired trajectory. It is experimentally found that the proposed control scheme is more effective to improve the tracking accuracy of hydraulic feeding system of the slotting machine than that of fuzzy PID controller.
23 citations
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TL;DR: In this paper, a PID control device identifies characteristic of rise of controlled system 2 by a step response method on changing a reference, moves to a PID controller when idle time and slope successively obtained at the rise reaches a predetermined condition, and computes PID control parameters based on the idle times and slope obtained up to that point.
Abstract: PID control device 1 identifies characteristic of rise of controlled system 2 by a step response method on changing a reference, moves to a PID control when idle time and slope successively obtained at the rise reaches a predetermined condition, and computes PID control parameters based on the idle time and slope obtained up to that point. If the identification is fully executed, the computed PID control parameters are immediately set. If it is not fully executed, the PID control device 1 further watches the state to compare a proportional gain of the newly computed PID control parameters with the proportional gain of previously set PID control parameters, and the currently computed PID control parameters are set when the parameters are on a safe side.
23 citations
25 Aug 1993
TL;DR: In this paper, a fuzzy logic-based precompensation approach for controlling systems with deadzones is proposed, which is robust to variations in deadzone nonlinearities, as well as the steady-state gain of the plant.
Abstract: A fuzzy logic-based precompensation approach for controlling systems with deadzones is proposed. The control structure consists of a fuzzy logic-based precompensator followed by a conventional proportional derivative (PD) controller. The authors' proposed control scheme shows superior transient and steady-state performance compared to conventional PD and proportional integral derivative (PID) controllers. The scheme is robust to variations in deadzone nonlinearities, as well as the steady-state gain of the plant. The effectiveness of the scheme is illustrated using computer simulation examples. >
23 citations
16 Jun 2005
TL;DR: A hybrid neuro-fuzzy controller (NFC) is presented for the speed control of brushless DC motors to improve the control performance of the drive under transient and steady state conditions and shows the effectiveness of the proposed control system.
Abstract: In this paper, a hybrid neuro-fuzzy controller (NFC) is presented for the speed control of brushless DC motors to improve the control performance of the drive under transient and steady state conditions In the hybrid control system, proportional-derivative (PD) type neuro-fuzzy controller (NFC) is the main tracking controller, and an integral compensator is proposed to compensate the steady state errors A simple and smooth activation mechanism described for integral compensator modifies the control law adaptively The presented BLDC drive has fast tracking capability, less steady state error and robust to load disturbance, and do not need complicated control method Experimental results showing the effectiveness of the proposed control system are presented
23 citations