Optimum synthesis of fuzzy logic controller for trajectory tracking by differential evolution

Pishkenari, Hossein Nejat; Mahboobi, Seyed Hanif; Alasty, Aria

doi:10.1016/j.scient.2011.03.021

Cited by 23 publications

(13 citation statements)

References 24 publications

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“…In the context of evolutionary computation techniques (see e.g. ), Differential Evolution is particularly attractive as it provides a high convergence speed and, on the other hand, has quite few control parameters, in comparison to other well known evolutionary algorithms . Moreover, this algorithm is exceptionally simple and fast, and is based on a robust population search, which makes it very appealing in high complex optimisation problems .…”

Section: Introductionmentioning

confidence: 99%

Constrained Nonlinear‐Based Optimisation Applied to Fuzzy PID Controllers Tuning

Gil

Sebastiao

Lucena

2017

Asian Journal of Control

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This paper aims at studying the optimal Fuzzy Proportional-Integral-Derivative controllers' tuning problem by considering two different nonlinear constrained optimisation techniques. One relying on a Hessian-based analytical approach, and the other based on a differential evolutionary method. In the case of offline implementation, two basic frameworks are under assessment, depending on the controller parameters to be adjusted. For online scaling factors and membership functions' width tuning, its implementation is based on the parallel computation paradigm. The performance index is described by a quadratic cost function, taking as arguments control errors and the increment of control actions. Constraints on the scaling factors, membership functions' width, as well as on the system inputs and outputs are also included in the optimisation problem. Experiments carried out on a benchmark system favour the offline joint optimisation based on the differential evolutionary approach of scaling factors and membership functions' width.

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Section: Introductionmentioning

confidence: 99%

Constrained Nonlinear‐Based Optimisation Applied to Fuzzy PID Controllers Tuning

Gil

Sebastiao

Lucena

2017

Asian Journal of Control

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“…30 These studies show that DE has significant potential for traffic problems. Vesterstrom and Thomsen, 31 Civicioglu and Besdok, 32 and Pishkenari et al 33 revealed that DE is superior to the GA and PSO. Therefore, in this study, DE was used for optimizing MFs based on various traffic flows.…”

Section: Introductionmentioning

confidence: 99%

Optimizing a fuzzy logic traffic signal controller via the differential evolution algorithm under different traffic scenarios

Doğan

Akgüngör

2016

SIMULATION

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This study aims at optimizing fuzzy logic controller (FLC) triangle membership functions (MFs) for different traffic volumes via differential evolution (DE). To achieve this goal, a new FLC with a red time limiter, which actually calculates green time and the extension time of traffic movement phase, is developed to control an intersection. Subsequently, this FLC is optimized with two levels, namely Level-1 and Level-2. Level-1 searches each fuzzy class’s minimum and maximum values (α and β) that generate the lowest average delay per vehicle with DE. Using DE Level-2 inherits Level-1 ranges and reshapes the MFs to explore lower delay values computed by Level-1. The proposed method is tested with nine different traffic scenarios. For each scenario, 15 different headways are applied for a four-leg isolated intersection. The results indicate that the intersection average performance is increased up to 52%, 48%, and 14% at 800, 1600, and 2400 veh/h total intersection volumes, respectively, after Level-1 optimizations. They also reveal that intersection control produces higher delay values in only four scenarios after Level-2 procedures. Consequently, it is shown that the DE has significant potential to optimize FLCs at the intersection signal control. In addition, tuning fuzzy class ranges is found to be more critical than the MF reshaping process in traffic control via FLCs.

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“…Simultaneously, Nuno et al 5 reported their developing progresses on the hierarchical fuzzy-logic-based approach for objective tracking. Other relevant researches can be concluded from the literatures [6][7][8][9][10] also. Although all these works provide a series of valuable scientific references for our tracking investigations in different experimental conditions, a detailed and systematic analysis concerning image tracking improvement on those high-similarity specimens, not just traditional measurements characterized by purely template matching or mathematical simulation, still not been studied in depth yet, which weakens the automated object tracking in accuracy and reliability undoubtedly.…”

Section: Introductionmentioning

confidence: 99%

Video tracking for high-similarity drug tablets based on reflective lightness intensity and fuzzy recognition system

Liang

Liu

Tan

et al. 2016

Proc Inst Mech Eng H

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Video tracking of drug tablet exerts important influences on the efficiency and reliability of its mass production; this topic also becomes a difficult and targeted focus for pharmaceutical production monitory in the past several years due to the high similarity and random distribution of those objectives to be searched for. By measuring the reflective lightness intensity of illumination lightness on tablet surface, reflective lightness intensity matrix was established and demonstrated in the form of grey image, presenting its shape topology and topography details in return. On this basis, a series of mathematical properties for describing reflective lightness intensity images were proposed, thereafter a set of fuzzy recognition system and its identification rules can be employed to classify those moving tablets with inputted image properties, which facilitates the determination of their instantaneous coordinate positions on given image frame accordingly. By repeating identical operations on the next frame, the real-time motions of tablet objectives were traced successfully. Orthogonal tracking experiment and performance comparisons verified the accuracy and reliability of this new method in pharmaceutical industry. With original suggestions concerning imaging arrangements, tablet descriptions and video tracking, this article provides reliable references and new research ideas for tablet tracking performance in high-yielding production domain.

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Optimum synthesis of fuzzy logic controller for trajectory tracking by differential evolution

Cited by 23 publications

References 24 publications

Constrained Nonlinear‐Based Optimisation Applied to Fuzzy PID Controllers Tuning

Constrained Nonlinear‐Based Optimisation Applied to Fuzzy PID Controllers Tuning

Optimizing a fuzzy logic traffic signal controller via the differential evolution algorithm under different traffic scenarios

Video tracking for high-similarity drug tablets based on reflective lightness intensity and fuzzy recognition system

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