Results 301 to 310 of about 18,006,196 (349)
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2008
Thus far we have represented system uncertainty by a disturbance input w allowed to have an arbitrarily fast time variation. Its only constraint was the pointwise condition w ∈ W where W was some known set possibly depending on the state x and control u. We now address a more specific situation in which our system contains some uncertain nonlinearity φ(
Randy A. Freeman, Petar Kokotović
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Thus far we have represented system uncertainty by a disturbance input w allowed to have an arbitrarily fast time variation. Its only constraint was the pointwise condition w ∈ W where W was some known set possibly depending on the state x and control u. We now address a more specific situation in which our system contains some uncertain nonlinearity φ(
Randy A. Freeman, Petar Kokotović
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Particle swarm optimization of fuzzy PI control for PMSMs
Journal of Power Electronics (JPE), 2023Shijiao Wang +4 more
semanticscholar +1 more source
IEEE transactions on industry applications, 2017
The main objective of this study is to develop a quantum-behaved lightening search algorithm (QLSA) to improve the indirect field-oriented fuzzy-proportional-integral (PI) controller technique to control a three-phase induction motor (TIM) drive.
M. Hannan +5 more
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The main objective of this study is to develop a quantum-behaved lightening search algorithm (QLSA) to improve the indirect field-oriented fuzzy-proportional-integral (PI) controller technique to control a three-phase induction motor (TIM) drive.
M. Hannan +5 more
semanticscholar +1 more source
IFAC Proceedings Volumes, 2006
Abstract A self-tuning algorithm comprising the steps of identification and tuning is proposed. The methodology of process parameters identification is based on the measurement of the locus of a perturbed relay system (LPRS) points from a single or multiple asymmetric relay feedback tests.
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Abstract A self-tuning algorithm comprising the steps of identification and tuning is proposed. The methodology of process parameters identification is based on the measurement of the locus of a perturbed relay system (LPRS) points from a single or multiple asymmetric relay feedback tests.
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Controlling Reversibility in Higher-Order Pi
2011We present in this paper a fine-grained rollback primitive for the higher-order π-calculus (HOπ), that builds on the reversibility apparatus of reversible HOπ [9]. The definition of a proper semantics for such a primitive is a surprisingly delicate matter because of the potential interferences between concurrent rollbacks.
LANESE, IVAN +3 more
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Fuzzy-PID controllers vs. fuzzy-PI controllers
Proceedings of IEEE 5th International Fuzzy Systems, 2002The synthesis of a control system includes both the controller selection and the adjustment of its parameters. In some cases, the type of controller might be more complex or more general, like PID instead PI or PD, to improve the control system performance. In all cases, the tuning problem must be satisfactorily solved. On the other hand, fuzzy control
M. Santos, S. Dormido, J.M. de la Cruz
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Replacing PI Control With First-Order Linear ADRC
2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS), 2019The problem of how to replace an existing continuous-time PI controller with a first-order linear active disturbance rejection controller is investigated.
Huiyu Jin, Yang Chen, Weiyao Lan
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Research and Implementation of SWISS Rectifier Based on Fuzzy PI Control
2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2018For the design of the three-phase buck-type SWISS rectifier controller, the model construction is not precise enough and the precision is low. The fuzzy PI control is introduced and compared with the traditional PI control.
Q. Jia +3 more
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Research on electric power steering fuzzy PI control strategy based on phase compensation
International Journal of Dynamics and Control, 2022Zhuan Zheng, JinCheng Wei
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ON AGGRESSIVENESS OF PI CONTROL
IFAC Proceedings Volumes, 2005Abstract The aggressiveness of a PI controller is defined and a quantitative characterization is given in relation to the ratio of the proportional and integral actions of the controller. This concept provides simple analytic design relations for tuning PI controllers.
P. Klán, R. Gorez
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