Theoretical and linguistic aspects of the fuzzy logic controller

Braae, M.; Rutherford, D.A.

doi:10.1016/0005-1098(79)90005-0

Cited by 260 publications

(62 citation statements)

References 13 publications

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“…Fuzzy logic controller is one of the controllers based on "if-then" rules that can be used for decision making as in the human mind [16]. At this research, Takagi-Sugeno's fuzzy inference system (TS FIS) [17] with the input engine torque error and derivative error and output weighting to absolute gain control is used to determine the correction to the throttle plate angle given by the driver.…”

Section: Methodsmentioning

confidence: 99%

Fuel Saving Strategy in Spark Ignition Engine Using Fuzzy Logic Engine Torque Control

Triwiyatno¹,

Sumardi²

2012

MST

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In the case of injection gasoline engine, or better known as spark ignition engines, an effort to improve engine performance as well as to reduce fuel consumption is a fairly complex problem. Generally, engine performance improvement efforts will lead to increase in fuel consumption. However, this problem can be solved by implementing engine torque control based on intelligent regulation such as the fuzzy logic inference system. In this study, fuzzy logic engine torque regulation is used to control the throttle position entered by the driver to achieve optimal engine torque. An engine torque vs. throttle position and engine speed mapping for vehicles with economical function is used to build this control process regulation. From the simulation result, it can be concluded that this control strategy is very effective to reduce fuel consumption and simultaneously to optimize the engine performance. Abstrak Strategi Penghematan Bahan Bakar pada Mesin dengan Pemicu Busi Melalui Kontrol Torsi Mesin denganLogika Fuzzy. Pada kasus kontrol mesin bensin, atau lebih dikenal sebagai mesin pengapian busi, upaya untuk meningkatkan kinerja mesin sekaligus mengurangi konsumsi bahan bakar adalah masalah yang cukup kompleks. Umumnya, upaya peningkatan performa mesin akan menyebabkan peningkatan konsumsi bahan bakar. Namun, hal ini dapat diselesaikan dengan melakukan kontrol torsi mesin berdasarkan peraturan cerdas seperti sistem inferensi logika fuzzy. Dalam studi ini, regulasi torsi mesin dengan logika fuzzy digunakan untuk mengontrol posisi throttle yang dimasukkan oleh pengemudi untuk mencapai torsi mesin yang optimal. Pemetaan torsi mesin vs posisi throttle dan kecepatan putar mesin untuk kendaraan dengan tujuan ekonomis digunakan untuk mendesain aturan proses kontrol. Dari hasil simulasi dapat disimpulkan bahwa strategi kontrol dengan logika fuzzy sangat efektif untuk mengurangi konsumsi bahan bakar dan sekaligus mengoptimalkan kinerja mesin.

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Section: Methodsmentioning

confidence: 99%

Fuel Saving Strategy in Spark Ignition Engine Using Fuzzy Logic Engine Torque Control

Triwiyatno¹,

Sumardi²

2012

MST

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“…Decomposition (31) is considered to be repeated recursively for the nested structure which has been already obtained in Eqs. (11) and (13). At each level the component is being decomposed in two parts, which can be recognized and included in the deterministic part of the next level, and which at the next level remains still unrecognizable (with…”

Section: Accuracy Versus Resolution: Nondeterministic Nested Refermentioning

confidence: 98%

Theoretical foundations of planning and navigation for autonomous robots

Meystel¹

1987

Int. J. Intell. Syst.

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In this article, theoretical foundations of planning and navigation systems and processes are outlined in a form applicable for autonomous robotics. The core of the theory is based upon methods developed in the team theory of decentralized stochastic control. A class of autonomous control systems is defined, and a problem of information representation is addressed for this class. A phenomenon of nesting is determined to be a key element for arranging design and control procedures for systems of intelligent control. A concept of hierarchical nested knowledge-based controller is employed in this article which enables optimum control using nested dynamic programming. An application of this concept is unfolded for a system of knowledge-based control of an autonomous mobile robot.

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“…Fuzzy logic controller is one of the controllers based on if-then rules that can be used for decision making as the human mind [15]. It can be embedded on a microcontroller system, and effectively applied as intelligent controllers separately from complex computer systems [16].…”

Section: Fuzzy Logic Controller As Gain Schedulingmentioning

confidence: 99%

Engine Torque Control of Spark Ignition Engine using Fuzzy Gain Scheduling

et al. 2012

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Abstrak Pada sistem mesin bakar dengan penyalaan busi (spark ignitionengine Kata kunci: spark ignition engine, torsi mesin, fuzzy gain scheduling. AbstractIn the spark ignition engine system, driver convenience is very dependent on satisfying engine torque appropriate with the throttle position given by the driver. Unfortunately, sometimes the fulfillment of engine torque is not in line with fuel saving efforts. This requires the development of high performance and robust power train controllers. One way to potentially meet these performance requirements is to introduce a method of controlling engine torque using fuzzy gain scheduling. By using this method, the throttle opening commanded by the driver will be corrected by throttle correction signal that guarantees engine torque output will follow the desired engine torque input, and also reducing fuel consumption. In this case, spark ignition engine with automatic transmission is used to meet a good performance under this controller design.

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Theoretical and linguistic aspects of the fuzzy logic controller

Cited by 260 publications

References 13 publications

Fuel Saving Strategy in Spark Ignition Engine Using Fuzzy Logic Engine Torque Control

Fuel Saving Strategy in Spark Ignition Engine Using Fuzzy Logic Engine Torque Control

Theoretical foundations of planning and navigation for autonomous robots

Engine Torque Control of Spark Ignition Engine using Fuzzy Gain Scheduling

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