Robust speed control of hybrid electric vehicle using fractional order fuzzy PD and PI controllers in cascade control loop

Kumar, Vineet; Rana, K.P.S.; Mishra, Puneet

doi:10.1016/j.jfranklin.2016.02.018

Cited by 81 publications

(42 citation statements)

References 29 publications

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“…Penelitian ini bertujuan untuk menghasilkan suatu pustaka atau blok fungsi baru pada perangkat lunak IEC 61499, yaitu 4DIAC-IDE yang nantinya dapat digunakan oleh para praktisi dalam merealisasikan sistem kendali yang berskala industri, dengan tentunya sangat berbeda pada penelitian pengendali PI-Fuzi yang telah dilakukan [6]- [12]. Blok fungsi terdiri atas dua tipe, yaitu tipe basic dan composite [13].…”

Section: A Blok Fungsi Kendali Pi-fuzi Berbasis Iec 61499unclassified

“…Selain menggunakan perangkat lunak MATLAB/Simulink, uji kinerja kendali PI-Fuzi juga pernah dilakukan pada perangkat lunak LabVIEW, dengan menggunakan plant kendaraan listrik hybrid [12]. Penelitian tersebut juga berskala simulasi dan hasilnya adalah pengendali PI-Fuzi mampu membuat respons kecepatan menjadi kokoh.…”

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“…Hasil dari beberapa penelitian kendali PI-Fuzi yang diterapkan dan diujikan pada beberapa sistem plant [6]- [12], menjadi suatu hal menarik dan penting untuk melakukan suatu penelitian yang lebih lanjut dalam menghasilkan suatu inovasi terbaru di era industri 4.0 ini. Oleh karena itu, penelitian ini melakukan penerapan kendali PI-Fuzi pada standar Programmable Logic Controller (PLC) IEC 61499 karena pengujiannya dapat dilakukan secara waktu nyata, serta sangat cocok untuk menerapkan suatu sistem besar yang berskala industri [13], [14].…”

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Pengembangan Blok Fungsi Kendali PI-Fuzi pada IEC 61499

Lebukan

Wardana

Effendy

2019

Jurnal Teknik Elektro

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Automation system in the form of automatic control is needed in one or several operating units in the process industry. Several control system algorithms have been widely implemented in the process industry, one of them is PI (Proportional and Integral) controller. This PI controller has a simple structure, but the adaptive ability of the controller is still not better for the controlled process. Therefore, the development of PI controller is needed to have a better adaptive ability to the process, in order to produce the responses that are also better and more robust. This research develops PI controller by adding the Fuzzy controller algorithm or also known as PI-Fuzzy controller. The PI-Fuzzy controller in this study is applied to the IEC 61499 Programmable Logic Controller (PLC) standard and to see its performance, the PI-Fuzzy controller based on IEC 61499 is tested and validated on an industrial scale process, namely coal mill. The test was carried out for three hours in real-time on the 4DIAC-IDE software, then the response results were compared with the response results of the PI controller. The PI-Fuzzy controller function block based on IEC 61499 made in this study showed good performance in controlling industrial-scale processes. This is demonstrated in testing and validation using a coal mill, with able to achieve the working range of each parameter. The mean value of coal flow parameter is 13.584 kg/s, coal mass accumulation is 2,196 kg, coal output temperature is 83.296 0 C, coal moisture is 0.021, and coal fineness is 75.338 %. Abstrak-Sistem otomasi yang berupa kendali otomatis sangat diperlukan pada satu atau beberapa unit operasi pada industri proses. Beberapa algoritma sistem kendali telah banyak diimplementasikan pada industri proses, salah satunya adalah kendali Proporsional dan Integral (PI). Kendali PI ini mempunyai struktur yang sederhana, namun kemampuan adaptif yang dimiliki pengendali ini masih kurang baik terhadap proses yang dikendalikan. Oleh karena itu, pengembangan kendali PI dibutuhkan agar mempunyai kemampuan adaptif yang lebih baik terhadap proses, sehingga menghasilkan tanggapan respons yang juga lebih baik dan kokoh. Penelitian ini mengembangkan kendali PI dengan menambahkan algoritma kendali Fuzi atau dikenal juga dengan sebutan kendali PI-Fuzi. Kendali PI-Fuzi pada penelitian ini diterapkan pada standar Programmable Logic Controller (PLC) IEC 61499 dan untuk melihat kinerjanya, kendali PI-Fuzi berbasis IEC 61499 diujikan dan divalidasi pada proses berskala industri, yaitu coal mill. Pengujian dilakukan selama tiga jam secara waktu nyata pada perangkat lunak 4DIAC-IDE, lalu hasil responsnya dibandingkan dengan hasil respons pengendali PI. Blok fungsi kendali PI-Fuzi berbasis IEC 61499 yang dibuat pada penelitian ini menunjukkan kinerja yang baik dalam mengendalikan proses yang berskala industri. Hal ini ditunjukkan pada pengujian dan validasinya menggunakan coal mill, dengan mampu mencapai rentang kerja dari setiap parameter. Nilai rerata parameter aliran batu bara mencapai ...

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Section: A Blok Fungsi Kendali Pi-fuzi Berbasis Iec 61499unclassified

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Pengembangan Blok Fungsi Kendali PI-Fuzi pada IEC 61499

Lebukan

Wardana

Effendy

2019

Jurnal Teknik Elektro

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“…Interest in the application of fractional order algorithms in cruise control has been manifested recently, for instance, Hosseinnia et al [9] demonstrated the effectiveness of a fractional hybrid control at low speeds, by applying this in a real circuit. Kumar et al [10] presented a paper where a hybrid electric vehicle is controlled using a fractional order fuzzy proportional, integral and derivative (PID) scheme, they reached a very robust behavior for speed control of the vehicle. Taymans et al [11] have applied a fractional linear feed-forward plus a pre-filtering to cruise control of an electric vehicle.…”

Section: Introductionmentioning

confidence: 99%

Fractional Order PI-Based Control Applied to the Traction System of an Electric Vehicle (EV)

et al. 2020

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This paper presents a design of a cruise control based on a fractional-order proportional and integral (PI) direct torque control applied to the traction system of an electric vehicle (EV). The paper also discusses the modeling, control design and simulation, resulting in a numerical simulator composed of detailed models of the main components: transmission system, induction motor, power electronics, control system, and vehicle dynamics. The simulation was developed in MATLAB/Simulink and will allow the estimation of the energy consumption of an EV under specific configurations. Simulation results show the efficiency of the designed control. These simulations were carried out using the velocity profiles given by the New Europe Drive Cycle (NEDC).

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“…A note on FOPID controller design which proposed a robust parameter tuning algorithm using Bode envelopes can be found in [26]. Besides, a robust fractionalorder cascade PD and PI controller was investigated based on fuzzy control technology by Kumar et al and has been applied to the speed control of a hybrid electric vehicle [27].…”

Section: Introductionmentioning

confidence: 99%

Robust Fractional‐Order PID Controller Tuning Based on Bode’s Optimal Loop Shaping

Liu

Zhang

2018

Complexity

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This paper presents a novel fractional-order PID controller tuning strategy based on Bode's optimal loop shaping which is commonly used for LTI feedback systems. Firstly, the controller parameters are achieved based on flat phase property and Bode's optimal reference model, so that the controlled system is robust to gain variations and can achieve desirable transient performance according to various control requirements. Then, robustness analysis of the controlled system is carried out to support the results. Furthermore, the parameter setting is analyzed to demonstrate the superiority of the proposed controller. At last, some simulation examples are shown to verify the accuracy and usefulness of the proposed control strategy. The proposed fractional-order PID controller does not have any restriction on the controlled plant, so it can be widely applied on both integer-order and fractionalorder systems.

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Robust speed control of hybrid electric vehicle using fractional order fuzzy PD and PI controllers in cascade control loop

Cited by 81 publications

References 29 publications

Pengembangan Blok Fungsi Kendali PI-Fuzi pada IEC 61499

Pengembangan Blok Fungsi Kendali PI-Fuzi pada IEC 61499

Fractional Order PI-Based Control Applied to the Traction System of an Electric Vehicle (EV)

Robust Fractional‐Order PID Controller Tuning Based on Bode’s Optimal Loop Shaping

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