scispace - formally typeset
Search or ask a question
Topic

Proportional control

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


Papers
More filters
Proceedings ArticleDOI
11 Dec 1996
TL;DR: In this paper, a new analytical design technique for a proportional, integral, derivative and acceleration (PIDA) controller is presented to satisfy specifications for transient and steady state response of a third order control system.
Abstract: In this paper a new analytical design technique for a proportional, integral, derivative and acceleration (PIDA) controller is presented to satisfy specifications for transient and steady state response of a third order control system. The PIDA controller values are analytically calculated by equating two characteristic equations: one is formed from desired root locations with specifications based on the design criteria, and another one is formed from the nominal control structure. Thus the calculation of values of the controller is so simple. The PIDA controller designs for different third order plant models are shown to illustrate the benefits of the proposed techniques. The proposed controller design techniques are also employed to show the practicality of the technique for controlling AC motor system models.

73 citations

Journal ArticleDOI
TL;DR: In this article, the application of nonlinear neural networks to control the strip thickness in a steel-rolling mill is described, and different control structures based on neural models of the simulated plant are proposed.
Abstract: The application of nonlinear neural networks to control of the strip thickness in a steel-rolling mill is described. Different control structures based on neural models of the simulated plant are proposed. The results for the neural controllers, among them internal model control and model predictive control, are compared with the performance of a conventional proportional-integral controller. By exploiting the advantage of the nonlinear modeling technique, all neural approaches increase the control precision. In the application considered, the combination of a neural model as a feedforward controller with a feedback controller of integral type gives the best results. >

73 citations

Patent
Yutaka Iino1, Takashi Shigemasa1
11 Aug 1987
TL;DR: In this article, an adaptive process control system comprises a controller of an I-P type generating a manipulating variable signal with a feed forward circuit responsive to the set point signal r(t), an integrator responsive to a difference between a process variable signal y(t) and set-point signal r (t), and an identification signal generator superposes a persistantly exciting identification signal h(t).
Abstract: An adaptive process control system comprises a controller of an I-P type generating a manipulating variable signal with a feed forward circuit responsive to the set-point signal r(t), an integrator responsive to a difference between a process variable signal y(t) and set-point signal r(t), and a feedback circuit responsive to the process variable signal y(t). An identification signal generator superposes a persistantly exciting identification signal h(t) to the control system. A frequency characteristic identifying circuit receives a discrete controlled data u(k) and y(k), estimates the parameters of the ARMA model by the least square method to identify the pulse transfer function, and obtains the transfer function in the continuous system as the frequency characteristics of gain and phase. A controller parameter calculating circuit calculates the controller parameters of the controller, such as integration gain K, proportional gain fo, and feed forward gain ff, using the frequency characteristics of gain and phase, and the overshoot, gain and phase margins, and attenuation ratio. The controller parameters are supplied via a switch to the controller.

73 citations

Journal ArticleDOI
TL;DR: The problem of high-precision position control in switched reluctance motor (SRM) drives is investigated and a four-quadrant control scheme is proposed based on the average torque control method.
Abstract: The problem of high-precision position control in switched reluctance motor (SRM) drives is investigated in this paper. Advanced proportional-integral and proportional-differential controllers for speed and position controls, respectively, are adopted. A gain-scheduling technique is adopted in the speed controller design for providing high dynamic performance and precise position control. In order to improve the set-point tracking, a low-pass filter is included in the position controller. The proposed four-quadrant control scheme is based on the average torque control method. The turn-on and turn-off angles are online determined through simple formulas so as to reduce the torque ripple at an acceptable level over a wide speed range. This is important since the position precision is highly influenced from the motor torque ripple. Experimental results of the SRM dynamic response are presented to verify the theoretical considerations and to demonstrate the effectiveness of the proposed control scheme.

72 citations

Proceedings ArticleDOI
13 Dec 2006
TL;DR: A new IBVS scheme based on nonlinear model predictive control (NMPC) is proposed considering the direct dynamic model of the robot, its joint and torque limits, the camera projection model and the visibility constraint to control a 6 degrees of freedom mechanical system.
Abstract: Image based visual servoing (IBVS) is a vision sensor based control architecture. In classical approach, an image Jacobian matrix maps image space errors into errors in Cartesian space. Then a simple proportional control law can be applied guaranteeing local convergence to a desired set point. One of the main advantage of IBVS is its robustness w.r.t camera and robot calibration errors and image measurement errors. Nevertheless, this scheme can not deal with nonlinear constraint such as joint limits and actuator saturation. Visibility constraint is not ensured with classical IBVS. A new IBVS scheme based on Nonlinear Model Predictive Control (NMPC) is proposed considering the direct dynamic model of the robot, its joint and torque limits, the camera projection model and the visibility constraint. Simulations exhibit the efficiency and the robustness of the proposed solution to control a 6 degrees of freedom mechanical system.

72 citations


Network Information
Related Topics (5)
Control theory
299.6K papers, 3.1M citations
93% related
Control system
129K papers, 1.5M citations
92% related
Robustness (computer science)
94.7K papers, 1.6M citations
85% related
Optimization problem
96.4K papers, 2.1M citations
80% related
Electric power system
133K papers, 1.7M citations
80% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20237
202217
202162
2020110
2019150
2018150