Synchronization Motion of Four Supports Hydraulic Platform with Unbalanced Loading and Uncertainties

Abstract:

Radar leveling system is the key equipment for improving radar high mobility and survival capability. In this paper, an integrated hybrid controller, comprising of a sets of fuzzy cylinder controllers and one synchronous neural controller, is proposed for a antenna trailer of radar with four points supporting, which is driven by one hydraulic oil supply, to achieve synchronization motion under he various conditions of system uncertainties and disturbances. A new control strategy for better synchronization performance is proposed and a self-adaptive learning algorithm to adjust the weights of the neural network, is also derived. To verify the effectiveness and potential of the proposed controller, a series of experiments were made. Experimental results have demonstrated its high accuracy synchronization performance and fast dynamic response as well as stability of the leveling servo system. The hybrid controller can drive the radar truck leveling platform accurately, quickly and stably.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 935-940
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.935
• Online since: December 2010
• Authors: Xuan Ling, Xu Dong Wang
• Keywords: Radar Leveling System, Self-Adaptive Learning Algorithm, Synchronous Neural Controller

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