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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.


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Journal ArticleDOI
TL;DR: Experimental results show that a new control architecture that incorporates a neural-network, fuzzy logic and a simple proportional-derivative (PD) controller achieves excellent tracking performance in the presence of payload uncertainty.
Abstract: Conventional model-based computed torque control fails to produce a good trajectory tracking performance in the presence of payload uncertainty and modeling error. The challenge is to provide accurate dynamics information to the controller. A new control architecture that incorporates a neural-network, fuzzy logic and a simple proportional-derivative (PD) controller is proposed to control an articulated robot carrying a variable payload. An off-line trained feedforward (multilayer) neural network takes payload mass estimates from a fuzzy-logic mass estimator as one of the inputs to represent the inverse dynamics of the articulated robot. The effectiveness of the proposed architecture is demonstrated by experiment on a two-link planar manipulator with changing payload mass. Experimental results show that this control architecture achieves excellent tracking performance in the presence of payload uncertainty.

27 citations

Proceedings ArticleDOI
04 Mar 2011
TL;DR: In this paper, the performances of Proportional (P), proportional-integral (PI), and proportionalintegral-derivative (PID) modes controller to control an automatic water level control system were presented.
Abstract: This paper presents the performances of Proportional (P), proportional-integral (PI) and proportional-integral-derivative (PID) modes controller to control an automatic water level control system. This project is developed to verify the performance of water level control system using PID control modes. The measurements of water level control system were collected from process plant which is located at Process Laboratory, UiTM Pulau Pinang. The measurements that have been carried out were analyzed based on three modes controlled that are Proportional, Proportional-Integral and Proportional-Integral-Derivative. The response of each control mode has been determined to identify the time constant, rise time, peak time and percentage overshoot. The evaluation of the output has been carried out and compared by software simulation using MATLAB toolbox. The results indicate that measured data and simulated data were showing a similarity in the responses and time constant.

27 citations

Journal ArticleDOI
TL;DR: In this article, an optimal suspension system for a quarter-car model using multivariable integral control is derived for a quadratic model using linear full-state feedback control laws with and without integral control together with the performance of passive suspensions.
Abstract: SUMMARY In this paper, an optimal suspension system is derived for a quarter-car model using multivariable integral control. The suspension system features two parts. The first part is an integral control acting on suspension deflection to ensure zero steady-sate offset due to body and maneuvering forces as well as road inputs. The second is a proportional control operating on the vehicle system states for vibration control and performance improvement. The optimal ride performance of the active suspensions based on linear full-state feedback control laws with and without integral control together with the performance of passive suspensions are compared.

27 citations

Journal ArticleDOI
TL;DR: In this article, an H/sub 2/ controller together with a feedforward compensator is designed via linear matrix inequality approach to minimize the propagation tracking error from one track to the next.
Abstract: The major disturbances in self-servo track writing are identified and modeled. Based on the disturbance models, an H/sub 2/ controller together with a feedforward compensator is designed via linear matrix inequality approach to minimize the propagation tracking error from one track to the next. Furthermore, the error propagation containment effectiveness of the optimal H/sub 2/ control is compared with that of proportional-integral-derivative (PID) and proportional-derivative (PD) feedback controls with the feedforward compensators. Our results show that the propagation tracking error is improved by 27% with the H/sub 2/ control compared with that by PID control.

27 citations

Proceedings ArticleDOI
15 May 2005
TL;DR: In this article, a self-tuning PID controller based on generalized minimum variance method is applied to the permanent-magnet synchronous motors (PMSM) speed control system, which can guarantee the stability of the close-loop system by pole assignment, based on the discrete-time mechanical equation and dynamic model of the q-axis current control loop of the PMSM drive system.
Abstract: In this paper a self-tuning PID controller based on generalized minimum variance method is applied to the permanent-magnet synchronous motors (PMSM) speed control system. The proposed method has approximate minimum variance properties, and can guarantee the stability of the close-loop system by pole-assignment, which is based on the discrete-time mechanical equation and dynamic model of the q-axis current control loop of the PMSM drive system. The complete vector control scheme using the self-tuning PID is implemented in real-time based on a digital signal processor (DSP) for a surface PMSM. Comparing conventional PID regulator, the proposed self-tuning regulator makes the speed control of the PMSM drive more robustness and high performance. Experiments are carried out at low and high speeds, results verified the efficacy of the proposed method

26 citations


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