Hybrid Dynamic Neural Network and PID Control of Pneumatic Artificial Muscle Using the PSO Algorithm

doi:10.1007/s11633-019-1196-5

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	Hybrid Dynamic Neural Network and PID Control of Pneumatic Artificial Muscle Using the PSO Algorithm
	Mahdi Chavoshian; Mostafa Taghizadeh; Mahmood Mazare
刊名	International Journal of Automation and Computing
	2020
卷号	17 期号:3 页码:428-438
关键词	Dynamic neural network (DNN) control hybrid control pneumatic muscle particle swarm optimization sliding mode control.
ISSN号	1476-8186
DOI	10.1007/s11633-019-1196-5
英文摘要	Pneumatic artificial muscles (PAM) have been recently considered as a prominent challenge regarding pneumatic actuators specifically for rehabilitation and medical applications. Since accomplishing accurate control of the PAM is comparatively complicated due to time-varying behavior, elasticity and ambiguous characteristics, a high performance and efficient control approach should be adopted. Besides of the mentioned challenges, limited course length is another predicament with the PAM control. In this regard, this paper proposes a new hybrid dynamic neural network (DNN) and proportional integral derivative (PID) controller for the position of the PAM. In order to enhance the proficiency of the controller, the problem under study is designed in the form of an optimization trend. Considering the potential of particle swarm optimization, it has been applied to optimally tune the PID-DNN parameters. To verify the performance of the proposed controller, it has been implemented on a real-time system and compared to a conventional sliding mode controller. Simulation and experimental results show the effectiveness of the proposed controller in tracking the reference signals in the entire course of the PAM.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42291]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	School of Mechanical Engineering, Sh. Beheshti University, Tehran 16589-53571, Iran
推荐引用方式 GB/T 7714	Mahdi Chavoshian,Mostafa Taghizadeh,Mahmood Mazare. Hybrid Dynamic Neural Network and PID Control of Pneumatic Artificial Muscle Using the PSO Algorithm[J]. International Journal of Automation and Computing,2020,17(3):428-438.
APA	Mahdi Chavoshian,Mostafa Taghizadeh,&Mahmood Mazare.(2020).Hybrid Dynamic Neural Network and PID Control of Pneumatic Artificial Muscle Using the PSO Algorithm.International Journal of Automation and Computing,17(3),428-438.
MLA	Mahdi Chavoshian,et al."Hybrid Dynamic Neural Network and PID Control of Pneumatic Artificial Muscle Using the PSO Algorithm".International Journal of Automation and Computing 17.3(2020):428-438.