Author
Víctor M. Alfaro
Other affiliations: Autonomous University of Barcelona
Bio: Víctor M. Alfaro is an academic researcher from University of Costa Rica. The author has contributed to research in topics: PID controller & Control system. The author has an hindex of 17, co-authored 64 publications receiving 780 citations. Previous affiliations of Víctor M. Alfaro include Autonomous University of Barcelona.
Papers
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TL;DR: In this paper, a robust tuning method for two-degree-of-freedom (2DoF) proportional integral (PI) controllers is proposed based on the use of a model reference optimization procedure with servo and regulatory target closed-loop transfer functions for first and second-order plus dead-time (FOPDT, SOPDT) controlled process models.
64 citations
TL;DR: In this article, a design approach for two-degree-of-freedom (2-DoF) PID controllers within a cascade control configuration that guarantees robust and smooth control is presented, where the use of an intermediate sensor provides the possibility for a compensation of a load-disturbance before it affects the output variable.
63 citations
TL;DR: In this paper, a robust tuning method for two-degree-of-freedom (2DoF) proportional integral derivative controllers with filter (PID2F) for inverse response controlled processes modeled by a second-order plus a right-half plane zero (SOPRHPZ) transfer function is presented.
59 citations
TL;DR: An index for measuring fragility of proportional integral derivative (PID) controllers is proposed and it defines when a PID controller is fragile, nonfragile or resilient.
Abstract: In this paper, an index for measuring fragility of proportional integral derivative (PID) controllers is proposed. This index relates the losses of robustness of the control loop when controller parameters change, to the nominal robustness of the control loop. Furthermore, it defines when a PID controller is fragile, nonfragile or resilient.
49 citations
Cited by
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TL;DR: This optimizer imitates the dynamic foraging behaviour of southern flying squirrels and their efficient way of locomotion known as gliding and provides more accurate solutions with high convergence rate as compared to other existing optimizers.
Abstract: This paper presents a novel nature-inspired optimization paradigm, named as squirrel search algorithm (SSA). This optimizer imitates the dynamic foraging behaviour of southern flying squirrels and their efficient way of locomotion known as gliding. Gliding is an effective mechanism used by small mammals for travelling long distances. The present work mathematically models this behaviour to realize the process of optimization. The efficiency of the proposed SSA is evaluated using statistical analysis, convergence rate analysis, Wilcoxon's test and ANOVA on classical as well as modern CEC 2014 benchmark functions. An extensive comparative study is carried out to exhibit the effectiveness of SSA over other well-known optimizers in terms of optimization accuracy and convergence rate. The proposed algorithm is implemented on a real-time Heat Flow Experiment to check its applicability and robustness. The results demonstrate that SSA provides more accurate solutions with high convergence rate as compared to other existing optimizers.
605 citations
TL;DR: In this article, a new Newton iterative identification method is presented for estimating the parameters of a second-order dynamic system utilizing the obtained data from the step response, in order to obtain the desired dynamic performance, a controller design method based on the root locus is presented to meet the requirement of the dynamic performance of the overshoot.
Abstract: In this paper, a new Newton iterative identification method is presented for estimating the parameters of a second-order dynamic system utilizing the obtained data from the step response. In order to obtain the desired dynamic performance, a controller design method based on the root locus is presented to meet the requirement of the dynamic performance of the overshoot. The simulation results indicate that the proposed Newton iterative identification method is effective and the system response can meet the requirement of system dynamic performances.
222 citations
TL;DR: This review focuses on published research in the 21st century and describes research into various methods to decide and control the dissolved oxygen (DO) concentration and to control the aerobic volume with special focus on plants with nitrogen removal.
199 citations
TL;DR: In this article, a Two-Degree-of-freedom-Fractional Order PID (2-DOF-FOPID) controller is proposed for automatic generation control (AGC) of power systems.
172 citations