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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01 Feb 2000
TL;DR: The aim of this paper is to develop and implement a nonlinear adaptive control scheme for a single-link flexible manipulator based on a discrete-time nonlinear model of the arm using the forward difference method.
Abstract: The aim of this paper is to develop and implement a nonlinear adaptive control scheme for a single-link flexible manipulator. The controller is designed based on a discrete-time nonlinear model of the arm. The model is derived by using the forward difference method (Euler approximation). The output redefinition concept is then used so that the associated zero dynamics corresponding to the new output is guaranteed to be exponentially stable. An indirect adaptive linearizing controller is developed for the resulting minimum phase system where the "payload mass" is assumed to be unknown but its upper bound is assumed to be known a priori. The performance of the adaptively controlled closed-loop system is investigated by both numerical simulations and experimental results. The proposed controller is also compared experimentally with those of nonadaptive feedback linearization and conventional proportional derivative (PD) control strategies.
32 citations
15 Nov 1993
TL;DR: In this article, an efficient dynamic model for a solenoid is proposed based on piecewise approximation with the linear and saturation sections approximated by first order and second order functions respectively.
Abstract: This paper proposes an efficient dynamic model for a solenoid. The magnetic characteristics in the model are based on piecewise approximation with the linear and saturation sections approximated by first order and second order functions respectively. A typical solenoid valve is used to validate the model. Preliminary results show that the model is both accurate and efficient. The model is used to design a proportional solenoid valve. >
32 citations
14 Jul 2009
TL;DR: The results suggest that fuzzy PID strategy can efficiently improve the performance of the hydraulic temperature control system, irrespective of time delay problem and parameter variations, and achieves higher control accuracy of temperature, faster response and stronger robustness than conventional PID control system.
Abstract: Oil temperature control in a large hydraulic system is dealt with using the fuzzy logic control algorithm. Mathematic model of the control system characterized by large time delay is created based on law of thermodynamics. A self-tuning-parameter fuzzy PID controller is designed to regulate the cooling water flow rate through the triple proportional valve in order to control the oil temperature. The simulations and experiments are carried out, making a comparison with conventional PID control. The results suggest that fuzzy PID strategy can efficiently improve the performance of the hydraulic temperature control system, irrespective of time delay problem and parameter variations. It achieves higher control accuracy of temperature, faster response and stronger robustness than conventional PID control system.
32 citations
TL;DR: The results obtained with these new grid control systems and closed-loop control methods during steady-state and dynamic operation under balanced and unbalanced conditions as well as with the harmonic content in the associated ac networks are discussed.
Abstract: During unbalanced conditions the dynamic performance of HVDC transmission systems connected to weak ac systems depends strongly upon the control systems of the dc link. Different new grid control systems and closed-loop control methods have been developed. The principles of these new control systems are described in Part I of this paper. Part II deals with the results obtained with these methods during steady-state and dynamic operation under balanced and unbalanced conditions as well as with the harmonic content in the associated ac networks.
32 citations
01 Nov 2013
TL;DR: This work exploits the differential flatness of four of the six outputs of multicopters, namely position and yaw, to show that the remaining outputs of pitch and roll need not be controlled states, but rather just need to be known.
Abstract: In this work, we present a powerful, albeit simple position control approach for Micro Aerial Vehicles (MAVs) targeting specifically multicopter systems. Exploiting the differential flatness of four of the six outputs of multicopters, namely position and yaw, we show that the remaining outputs of pitch and roll need not be controlled states, but rather just need to be known. Instead of the common approach of having multiple cascaded control loops (position - velocity - acceleration/attitude - angular rates), the proposed method employs an outer control loop based on dynamic inversion, which directly commands angular rates and thrust. The inner control loop then reduces to a simple proportional controller on the angular rates. As a result, not only does this combination allow for higher bandwidth compared to common control approaches, but also eliminates many mathematical operations (only one trigonometric function is called), speeding up the necessary processing especially on embedded systems. This approach assumes a reliable state estimation framework, which we are able to provide with through previous work. As a result, with this work, we provide the missing elements necessary for a complete approach on autonomous navigation of MAVs.
32 citations