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Open-loop controller

About: Open-loop controller is a research topic. Over the lifetime, 16148 publications have been published within this topic receiving 224014 citations. The topic is also known as: non-feedback controller & open-loop control law.


Papers
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Journal ArticleDOI
TL;DR: This paper presents the application of long-range predictive control to the problem of induction motor stator current regulation and simulation results are presented, which compare favorably with those for proportional integral compensated controllers.
Abstract: This paper presents the application of long-range predictive control to the problem of induction motor stator current regulation. The particular controller used is the generalized predictive controller in a synchronous reference frame. The theory and implementation of this controller are discussed and simulation results are presented, which compare favorably with those for proportional integral compensated controllers.

62 citations

Journal ArticleDOI
TL;DR: In this paper, a novel adaptive management strategy for power flow in standalone hybrid power systems is presented, which includes a feed-forward, back-propagation neural network controller in the first layer, which is added in order to achieve the maximum power point for the different types of PV panels.
Abstract: This study presents a novel adaptive management strategy for power flow in standalone hybrid power systems. The method introduces an on-line energy management by using a hierarchical controller between three energy sources: photovoltaic (PV) panels, battery storage and proton exchange membrane fuel cell. The proposed method includes a feed-forward, back-propagation neural network controller in the first layer, which is added in order to achieve the maximum power point for the different types of PV panels. In the second layer, a fuzzy logic controller has been developed to optimise performance by distributing the power inside the hybrid system and by managing the charge and discharge of the current flow. Finally, and in the third layer, local controllers are presented to regulate the fuel cell/battery set points in order to reach to best performance. Moreover, perturb and observe algorithm with two different controller techniques - the linear proportional-integral (PI) and the non-linear passivity-based controller - are provided for a comparison with the proposed maximum power point tracking controller system. The comparison revealed the robustness of the proposed PV control system for solar irradiance and load resistance changes. Real-time measured parameters and practical load profiles are used as inputs for the developed management system. The proposed model and its control strategy offer a proper tool for optimising the hybrid power system performance, such as the one used in smart-house applications.

61 citations

Patent
06 Apr 1992
TL;DR: In this article, a speed controller for a DC motor minimizes speed droop and load droop through pulse width or frequency modulation, which provides an extra power increase upon engine starting or whenever a heavier load is temporarily encountered.
Abstract: A speed controller for a DC motor minimizes speed droop and load droop through pulse width or frequency modulation. The controller provides an extra power increase upon engine starting or whenever a heavier load is temporarily encountered. The control circuit also has a current limiter, overload indicators, and a battery recharger. The controller is very inexpensive, primarily because all of the timing components are contained on a single integrated circuit timer chip such as a 556 timer. The controller contains other features, including a circuit for limiting the pulse width of the control signal from the pulse width modulator.

61 citations

Journal ArticleDOI
TL;DR: A fuzzy logic based controller applied to a simple magnetic suspension is presented and it becomes clear that the decomposed fuzzy PID controller gives better performance over a typical operational range than a traditional linear PID controller.
Abstract: A fuzzy logic based controller applied to a simple magnetic suspension is presented in this paper. The simple electromagnet-ball system and the contactless optical position measurement system are developed as a physical model of the magnetic suspension. A nonlinear mathematical model is presented and linearized. This model has been used to design a discrete linear PID controller with optimal parameters. The physical real-time model was constructed in order to compare the performance of the linear discrete PID controller and the proposed fuzzy logic based PID controller. The decomposed fuzzy PID controller has proportional, integral, and derivative separate parts which are tuned independently. When testing it becomes clear that the decomposed fuzzy PID controller gives better performance over a typical operational range than a traditional linear PID controller.

61 citations

Journal ArticleDOI
TL;DR: A nonlinear observer for the permanent magnet (PM) stepper motor is considered and the method of A.J. Krener and W. Respondek (1985) is used to construct a nontrivial full-order speed observer that has linear error dynamics.
Abstract: A nonlinear observer for the permanent magnet (PM) stepper motor is considered. Specifically, the method of A.J. Krener and W. Respondek (1985) is used to construct a nontrivial full-order speed observer that has linear error dynamics. The procedure is validated by experimental results. Reduced-order observers are constructed by inspection. >

61 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202371
2022124
202167
202079
201998
2018155