加速器磁铁电源的被控对象辨识模块设计

doi:10.11889/j.0253-3219.2017.hjs.40.010402

Nuclear Techniques ›› 2017, Vol. 40 ›› Issue (1): 10402-010402.doi: 10.11889/j.0253-3219.2017.hjs.40.010402

• NUCLEAR ELECTRONICS AND INSTRUMENTATION • Previous Articles Next Articles

Plant identification module design for accelerator magnet power supplies

SHU Kun^1,2, LONG Fengli¹

1 Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China

Received:2016-10-11 Revised:2016-11-06 Online:2017-01-10 Published:2017-01-11
Supported by:
Supported by Strategic Priority Program on ADS Transmutation System of Advanced Fission Energy (No.Y12C32L129)

Abstract

Abstract:

Background: The control strategy of accelerator power supplies mainly depends on PID (Proportion-integral-derivative) controlling at domestic plant. The controlled plant is treated as transfer functions induced from physical models and the controller design depends on them. This approach suffers from the shifting between design values and the real elements as well as the uncertainty of the hardware structure. Moreover, the engineers are mainly not interested in the internal mechanisms of the plants but their input-output (I/O) behavior. Purpose: This study aims to design a plant identification module with better real-time performance, applicability and versatility. Methods: Based on subspace model identification, particularly the MOESP (Multivariable Output Error State sPace) method, the FPGA (Field Programmable Gate Array) modules are designed in pertinence and the identification algorithm is processed by embedded SOPC (System On a Programmable Chip). These modules were applied to magnet power supply digital control platform for both BEPCII (Beijing Electron Positron Collider II) and ADS (Accelerator Driven Sub-critical System). Results: The identified model was strictly tested and proved to be capable to predict the output current with significant accuracy for magnet power supplies of both BEPCII and ADS. Conclusion: The module is easy to use for providing key information for controller design and compatible with loadings of various characteristics. Compared with traditional analytic modelling, the plant identification module performs better in applicability, versatility and real-time performance.

Key words: Accelerator magnet power supply, Subspace model identification, State space model, FPGA, SOPC

CLC Number:

TL503.5

SHU Kun, LONG Fengli. Plant identification module design for accelerator magnet power supplies[J].Nuclear Techniques, 2017, 40(1): 10402-010402.

References

1 Qian X P, Yao Z E, Wang Q. Model-predictive control of power supply for particle accelerators[J]. Nuclear Science and Techniques, 2014, 25(5):050203. DOI:10.13538/j.1001-8042/nst.25.050203.

2 李幼凤, 苏宏业, 褚健. 子空间模型辨识方法综述[J]. 化工学报, 2006, 57(3):473-479. DOI:10.3321/j.issn:0438-1157.2006.03.001. LI Youfeng, SU Hongye, ZHU Jian. Overview on subspace model identification methods[J]. Journal of Chemical Industry and Engineering, 2006, 57(3):473-479. DOI:10.3321/j.issn:0438-1157.2006.03.001.

3 Overschee P V, Moor B L. Subspace identification for linear systems:theory, implementation, applications[M]. Boston:Kluwer Academic, 1996:31-55.

4 龙锋利. 高精度稳流电源的智能化控制[D]. 北京:中国科学院高能物理研究所, 2006. LONG Fengli. Research of intelligent control for high precision stabilized current power supply[D]. Beijing:Institute of High Energy Physics, Chinese Academy of Sciences, 2006.

5 Vladimir P. Hankel operators and their applications[M]. New York:Springer, 2003:453-487. DOI:10.1007/978-0-387-21681-2_1.

6 Haverkamp L R J. State space identification:theory and practice[M]. 2001:36-53.

7 章智慧, 白瑞林, 沈宪明. 面向SOPC Builder的用户自定义IP核开发[J]. 自动化仪表, 2006, 27(9):23-26. DOI:10.3969/j.issn.1000-0380.2006.09.008. ZHANG Zhihui, BAI Ruilin, SHEN Xianming. The development of user-defined IP cores facing SOPC Builder[J]. Process Automation Instrumentation, 2006, 27(9):23-26. DOI:10.3969/j.issn.1000-0380.2006.09. 008.

8 Monisha D S, Kumari R S S. Implementation of RNG in FPGA using efficient resource utilization[J]. International Journal of Recent Technology and Engineering, 2013, 2(2):90-95.

9 Boutillon E, Danger J L, Ghazel A. Design of high speed AWGN communication channel emulator[J]. Analog Integrated Circuits and Signal Processing, 2003, 34(2):133-142. DOI:10.1023/A:1021937002981.

10 王玉花, 郭书军. Nios II系统Avalon总线PWM设计[J]. 现代电子技术, 2010, 33(1):183-185. WANG Yuhua, GUO Shujun. PWM designs of Avalon bus on Nios II system[J]. Modern Electronics Technique, 2010, 33(1):183-185.

11 任哲. 嵌入式实时操作系统μC/OS-II原理及应用[M]. 2版. 北京:北京航空航天大学出版社, 2009:42-91. REN Zhe. Embedded real-time operation system μC/OS-II:theory and applications[M]. 2nd ed. Beijing:Beihang University Press, 2009:42-91.

12 Shu K, Zhang J X. The design of a new state space digital power supply prototype[C]. Proceeding 7th International Particle Accelerator Conference (IPAC'16), Busan, Korea, 2016:3546-3548. DOI:10.18429/JACoW-IPAC2016-THPMW007.

[1]	Shaojia CHEN, Yubin ZHAO, Lixin ZENG, Xingcheng TIAN, Hong LUO, Bin TANG, Xiuku WANG. The development of the main detector's readout electronics for GPPD of CSNS project [J]. Nuclear Techniques, 2019, 42(6): 60402-060402.
[2]	Yuan YUAN, Liuqiang ZHANG, Xiaoli LUO, Yinglin LI. A real-time peak detection method for nuclear pulse signal and energy spectrum analysis [J]. Nuclear Science and Techniques, 2019, 42(2): 20404-020404.
[3]	LI Mingda, ZHAO Yubin, ZHENG Xiang, XIA Yangyang, ZHANG Zhigang, ZHAO Zhentang. Design and implementation of frequency tracking and amplitude-phase feedback in RFQ low level control system [J]. Nuclear Techniques, 2018, 41(6): 60202-060202.
[4]	WANG Haitao, TANG Bin, WANG Renbo, QU Jinhui, ZHANG Xiongjie, CHEN Rui, LIU Zhifeng. Method of pulse baseline estimate and deduction for digital gamma energy spectrometer [J]. Nuclear Techniques, 2018, 41(5): 50402-050402.
[5]	LI Jicheng, LIU Congzhan, ZHANG Yifei, ZHAO Jianling, YAN Bo. Development of a FPGA-based 8-channel pulse wave analyzer [J]. Nuclear Techniques, 2017, 40(9): 90401-090401.
[6]	ZHANG Zhigang, ZHAO Yubin, XU Kai, ZHENG Xiang, LI Zheng, ZHAO Shenjie, CHANG Qiang, HOU Hongtao, LIU Jianfei. Control of field flatness based on FPGA for multi-cell cavity [J]. Nuclear Techniques, 2017, 40(2): 20101-020101.
[7]	LIU Yinyu, WANG Yudong, ZHOU Rong, YANG Chaowen. Trapezoidal filter for digital spectrum acquire [J]. Nuclear Techniques, 2017, 40(2): 20402-020402.
[8]	MA Yichao, ZHU Na, DANG Hongshe, QIAN Sen, BAI Wenjing. Design of single-photon pulse generator based on FPGA [J]. Nuclear Techniques, 2016, 39(9): 90401-090401.
[9]	HU Yingrui, LI Xiaoqiang. Design and implementation of radioactivity identifying pedestrian portal [J]. Nuclear Techniques, 2016, 39(9): 90403-090403.
[10]	LI Song, ZHANG Junqiang, ZHANG Meng, ZHAO Minghua. Implementation of FPGA-based feedforward function in LLRF system for electron LINAC [J]. Nuclear Techniques, 2016, 39(7): 70402-070402.
[11]	ZHANG Junqiang, LIU Yajuan, ZHONG Shaopeng, LI Lin, LI Yingmin, GU Qiang. Low level radio frequency system of 15-MeV electrons linac [J]. Nuclear Techniques, 2016, 39(3): 30403-030403.
[12]	DU Xijiu, JIANG Geyang, YE Bin, CHEN Guanghua, CHEN Jianfeng, SHEN Liren. Design of MLC’s control system for IORT accelerators [J]. Nuclear Techniques, 2015, 38(9): 90502-090502.
[13]	CHEN Feng, XIA Xiaobin, ZHANG Zhihong, CAI Jun, CHEN Mingming, TU Chuanhuo. Design of data acquisition system for radioactive α aerosols monitor [J]. Nuclear Techniques, 2015, 38(6): 60401-060401.
[14]	CHEN Xiaomeng, ZHANG Yuzhong, AI Xianyun, LIANG Weiping, XIAO Wuyun. Method of digital Dither adding for digital multi-channel pulse amplitude analyzer [J]. Nuclear Techniques, 2015, 38(5): 50401-050401.
[15]	REN Hailong, ZHAO Yubin, WEN Shuangchun, LU Ruiqi. Electronic readout system for MWPC detector used in CSNS [J]. Nuclear Techniques, 2015, 38(5): 50402-050402.

Plant identification module design for accelerator magnet power supplies

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 10