Cascade IMC-PID Control of Superheated Steam Temperature based on Closed-loop Identification in the Frequency Domain

Li, Xiaofeng; Dongjie, Ding; Wang, Yagang; Huang, Zekun

doi:10.1016/j.ifacol.2016.10.145

Cited by 13 publications

(6 citation statements)

References 8 publications

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“…Since the prediction model is built under the most unfavorable ambient temperature (the location farthest from the heat source), the actual output should generally be higher than the predicted output of the model. The negative difference indicates that the execution channel is faulty; otherwise, the execution channel is normal [13]. However, since the grid voltage may fluctuate downwards and the heater is aging, it is necessary to use thresholds to offset these effects during actual determination.…”

Section: Fault Tolerance Rate and Fault Diagnosis Methods Of Dcs Contrmentioning

confidence: 99%

Simulation of electric heating prediction model by internet of things technology and room thermal performance analysis

Wen

2020

THERM SCI

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The fault diagnosis and fault-tolerant control of electric heating distributed control system are improved by the thermal performance analysis of rooms. The given values are tracked to meet the heating requirements, and the reliability of heating is increased without increasing hardware resources, which improves the reliability and economy of electric heating. From the perspective of energy conservation of electric heating for buildings and rooms, a predictive control model based on loadside three-phase power self-balance is proposed. A fault tolerance method for the electric heating distributed control system control system heating is designed. The load-side three-phase power self-balancing method of the electric heating control system is implemented by using the advantages of the Internet of Things and the heat storage performance of a room, which is its characteristics. Simulation results show that the performance of predictive control for non-minimum phase process is significantly better than that of conventional proportion integral differential control. For complex control problems, predictive control technology can provide better control performance than proportion integral differential control technology. Without increasing any hardware resources, reliable and economical heating is achieved through software.

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Section: Fault Tolerance Rate and Fault Diagnosis Methods Of Dcs Contrmentioning

confidence: 99%

Simulation of electric heating prediction model by internet of things technology and room thermal performance analysis

Wen

2020

THERM SCI

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“…However, the normal single-loop control strategies are unable to weaken the dynamic deviation caused by the secondary disturbance and quicken the tracking response in terms of the control of SST. Therefore, cascade control is usually chosen as the control strategy of SST for the reason that it has three advantages [30]:…”

Section: Numerical Simulationmentioning

confidence: 99%

“…Consider the SST system depicted as Equation (35). In this subsection, the proposed hybrid ADRC is compared with control strategies which are mentioned in [30] such as PI-PI, ADRC-PI and the modified ADRC(MADRC)-PI. All parameters of different control strategies are listed in Table 1.…”

Section: Numerical Simulationmentioning

confidence: 99%

Superheated Steam Temperature Control Based on a Hybrid Active Disturbance Rejection Control

Shi

Guo³

et al. 2020

Energies

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Superheated steam temperature (SST) is a significant index for a coal-fired power plant. Its control is becoming more and more challenging for the reason that the control requirements are stricter and the load command changes extensively and frequently. To deal with the aforementioned challenges, previously the cascade control strategy was usually applied to the control of SST. However, its structure and tuning procedure are complex. To solve this problem, this paper proposes a single-loop control strategy for SST based on a hybrid active disturbance rejection control (ADRC). The stability and ability to reject the secondary disturbance are analyzed theoretically in order to perfect the theory of the hybrid ADRC. Then a tuning procedure is summarized for the hybrid ADRC by analyzing the influences of all parameters on control performance. Using the proposed tuning method, a simulation is carried out illustrating that the hybrid ADRC is able to improve the dynamic performance of SST with good robustness. Eventually, the hybrid ADRC is applied to the SST system of a power plant simulator. Experimental results indicate that the single-loop control strategy based on the hybrid ADRC has better control performance and simpler structure than cascade control strategies. The successful application of the proposed hybrid ADRC shows its promising prospect of field tests in future power industry with the increasing demand on integrating more renewables into the grid.

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“…Kontrol PID dengan metode IMC telah digunakan dalam sistem magnetic levitation (Duka et al, 2016), pengontrolan pada superheated steam temperature (Li et al, 2016b), pengontrolan sistem yang tidak stabil (Begum et al, 2016). Penggunan teknik tuning PID dengan metode IMC dapat meminimalisir error dengan membandingkan antara keluaran proses dengan keluaran hasil prediksi dengan menggunakan inverse model sehingga dapat digunakan untuk mengoptimalkan kontrol PID (Li et al, 2016a).…”

Section: Pendahuluanunclassified

PID Tuning Using Internal Model Controller with Tustin Model Approach

Azis

Setiawan

Hermawan

et al. 2018

JTEP

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Jurnal Keteknikan Pertanian (JTEP) terakreditasi berdasarkan SK Dirjen Penguatan Riset dan Pengembangan Kementerian Ristek Dikti Nomor I/E/KPT/2015 tanggal 21 September 2015. Selain itu, JTEP juga telah terdaftar pada Crossref dan telah memiliki Digital Object Identifier (DOI) dan telah terindeks pada ISJD, IPI, Google Scholar dan DOAJ. JTEP terbit tiga kali setahun yaitu bulan April, Agustus dan Desember, dan mulai tahun ini berisi 15 naskah untuk setiap nomornya. Peningkatan jumlah naskah pada setiap nomornya ini dimaksudkan untuk mengurangi masa tunggu dengan tidak menurunkan kualitas naskah yang dipublikasikan. Jurnal berkala ilmiah ini berkiprah dalam pengembangan ilmu keteknikan untuk pertanian tropika dan lingkungan hayati. Jurnal ini diterbitkan dua kali setahun baik dalam edisi cetak maupun edisi online. Penulis makalah tidak dibatasi pada anggota PERTETA tetapi terbuka bagi masyarakat umum. Lingkup makalah, antara lain meliputi teknik sumberdaya lahan dan air, alat dan mesin budidaya pertanian, lingkungan dan bangunan pertanian, energi alternatif dan elektrifikasi, ergonomika dan elektronika pertanian, teknik pengolahan pangan dan hasil pertanian, manajemen dan sistem informasi pertanian. Makalah dikelompokkan dalam invited paper yang menyajikan isu aktual nasional dan internasional, review perkembangan penelitian, atau penerapan ilmu dan teknologi, technical paper hasil penelitian, penerapan, atau diseminasi, serta research methodology berkaitan pengembangan modul, metode, prosedur, program aplikasi, dan lain sebagainya. Penulisan naskah harus mengikuti panduan penulisan seperti tercantum pada website dan naskah dikirim secara elektronik (online submission) melalui http://journal.ipb.ac.id/index.php/jtep. Penanggungjawab:Ketua AbstrakKontrol PID merupakan salah satu teknik pengontrolan yang populer untuk pengontrolan sistem dengan ketelitian tinggi. Terdapat satu tahapan yang sangat penting dan mempengaruhi kehandalan dari sistem kontrol PID yang dihasilkan. Tahapan tersebut adalah penalaan (tuning) PID. Tahapan ini menjadi penting karena berperan dalam penentuan konstanta PID (K P , K I , dan K D ). Saat ini telah banyak teknik penalaan PID yang telah dikembangkan dari teknik Ziegler-Nichols. Penalaan PID dengan teknik Internal Model Controller (IMC) melalui pendekatan model discrete Tustin digunakan dalam penelitian ini. Metode openloop dengan teknik pengontrolan PWM dipakai dengan dua variasi nilai PWM yaitu 20% dan 80%. Tujuan penelitian ini adalah menemukan konstanta PID dan menguji performanya dengan motor DC. Dari proses penalaan PID yang dilakukan, diperoleh dua pasang konstanta K P , K I , dan K D . Konstanta pertama masingmasing sebesar 0.4013; 0.0988; dan 0.0176, dan pasangan kedua masing-masing sebesar 0.2314; 0.0531; dan 0.044. Hasil pengujian dengan motor DC memperlihatkan performa konstanta PID yang diperoleh cukup handal dalam mengontrol kecepatan motor yang ditandai oleh kemampuan motor dalam mengikuti nilai set-point yang diberikan dan tidak terjadi steady state error. Akan tetapi t...

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Cascade IMC-PID Control of Superheated Steam Temperature based on Closed-loop Identification in the Frequency Domain

Cited by 13 publications

References 8 publications

Simulation of electric heating prediction model by internet of things technology and room thermal performance analysis

Simulation of electric heating prediction model by internet of things technology and room thermal performance analysis

Superheated Steam Temperature Control Based on a Hybrid Active Disturbance Rejection Control

PID Tuning Using Internal Model Controller with Tustin Model Approach

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