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Appl. Sci. 2019, 9(3), 549; https://doi.org/10.3390/app9030549

Convergence Optimization and Verification for Single-Channel Remote Parameter Control of a Nonlinear System

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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Received: 17 December 2018 / Revised: 31 January 2019 / Accepted: 2 February 2019 / Published: 6 February 2019
(This article belongs to the Special Issue Sensor-Based Integrated Mechatronic Systems)
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Abstract

In this paper, the theory of RPC (remote parameter control) iteration process of linear situation without and with iteration coefficient as well as nonlinear situation with coefficient is analyzed. The influence of iteration coefficient on iterative convergence control condition is analyzed. Two kinds of optimized control method for iteration coefficient based on the system transfer function estimation are proposed. A lightweight motorcycle and electro-hydraulic servo road vibration test bench are used to verify the feasibility of the optimized control methods for the reproduction of road profiles of SISO (single-input, single-output) system. According to the experiment result, which is the RMS (root mean square) of the NSRE (normalized spectrum of response error) of system, the convergent precision, convergent speed and iteration stability are discussed to present the advantage and disadvantage of the optimized control methods. Compared with three commonly used manual methods, the result shows the rapidity and stability of optimized control methods. View Full-Text
Keywords: iteration control; nonlinear dynamics; random signal processing; remote parameter control; road reproduction iteration control; nonlinear dynamics; random signal processing; remote parameter control; road reproduction
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Li, M.; Zhang, Y. Convergence Optimization and Verification for Single-Channel Remote Parameter Control of a Nonlinear System. Appl. Sci. 2019, 9, 549.

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