Acceleration amplitude-phase regulation for electro-hydraulic servo shaking table based on LMS adaptive filtering algorithm

• Published in: International journal of control Vol. 85; no. 10; pp. 1581 - 1592
• Main Authors: Yao, Jianjun, Di, Duotao, Jiang, Guilin, Gao, Shuang
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis Group 01-10-2012; Taylor & Francis; Taylor & Francis Ltd
• Subjects: Acceleration; Adaptive filters; Algorithms; amplitude-phase regulation; Amplitudes; Applied sciences; Attenuation; Computer science; control theory; systems; Control; Control system synthesis; Control theory. Systems; Delay; electro-hydraulic servo shaking table; Exact sciences and technology; Hydraulics; LMS adaptive filtering algorithm; Modelling and identification; pole placement; Programmable logic controllers; Shake tables; Studies; Systems stability; three-variable controller; Adaptive algorithm; Input signal; Hydraulic control; Phase regulation; Adaptive filtering; Acceleration control; Real time; LMS adaptive filtering algorithm; Electrohydraulic control; Modeling; pole placement; Pole assignment; Band matrix; Amplitude regulation; Frequency band; Least squares method; electro-hydraulic servo shaking table; amplitude-phase regulation; Replication; Phase delay; three-variable controller
• ISSN: 0020-7179; 1366-5820
• DOI: 10.1080/00207179.2012.694081

Electro-hydraulic servo shaking table usually requires good control performance for acceleration replication. The poles of the electro-hydraulic servo shaking table are placed by three-variable control method using pole placement theory. The system frequency band is thus extended and the system stability is also enhanced. The phase delay and amplitude attenuation phenomenon occurs in electro-hydraulic servo shaking table corresponding to an acceleration sinusoidal input. The method for phase delay and amplitude attenuation elimination based on LMS adaptive filtering algorithm is proposed here. The task is accomplished by adjusting the weights using LMS adaptive filtering algorithm when there exits phase delay and amplitude attenuation between the input and its corresponding acceleration response. The reference input is weighted in such a way that it makes the system output track the input efficiently. The weighted input signal is inputted to the control system such that the output phase delay and amplitude attenuation are all cancelled. The above concept is used as a basis for the development of amplitude-phase regulation (APR) algorithm. The method does not need to estimate the system model and has good real-time performance. Experimental results demonstrate the efficiency and validity of the proposed APR control scheme.