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Algorithm Research & Explore
|
677-680

Parameter learning optimization of intelligent controller based on CARLA-PSO composite model

Gu Xuejing1a
Zhang Mingru1a
Wang Zhiliang2
Guo Yucheng1b
1. a. School of Electrical Engineering, b. College of Light Industry, North China University of Science & Technology, Tangshan Hebei 063009, China
2. School of Computer & Communication Engineering, University of Science & Technology Beijing, Beijing 100083, China

Abstract

This paper presented a hybrid approach involving continuous action reinforcement learning automata(CARLA) and particle swarm optimization(PSO) to design a optimal and intelligent proportiona-lintegral-derivative(PID) controller of an mould level control system. The proposed method is CARLA which is able to explore and learn to improve control performance without the knowledge of the analytical system model. CARLA-PSO is composed of two sections which are the CARLA learning loop, and the PSO learning loop, and select learning loop according to the optimal policy selector. CARLA-PSO is a method that combines the features of PSO and CARLA in order to improve the optimize operation through interaction with the environment. The experimental results show that CARLA-PSO was indeed more efficient in improving the step response of an mould level control system.

Foundation Support

国家自然科学基金资助项目(61170117)
国家重点研发计划资助项目(2016YFB1001404)
河北省自然科学基金高端钢铁冶金联合研究基金专项项目(F2017209120)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0927
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Algorithm Research & Explore
Pages: 677-680
Serial Number: 1001-3695(2019)03-007-0677-04

Publish History

[2019-03-05] Printed Article

Cite This Article

谷学静, 张明儒, 王志良, 等. 基于CARLA-PSO组合模型的智能控制器参数学习优化 [J]. 计算机应用研究, 2019, 36 (3): 677-680. (Gu Xuejing, Zhang Mingru, Wang Zhiliang, et al. Parameter learning optimization of intelligent controller based on CARLA-PSO composite model [J]. Application Research of Computers, 2019, 36 (3): 677-680. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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