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飞机防滞刹车的性能研究对飞机着陆的安全性、降低航空公司维护工作量等具有重要意义。飞机防滞刹车系统是一种非线性系统,具有复杂动态特性,并且影响其性能的因素众多,实现高效控制十分困难。针对此问题,在回顾飞机防滞刹车系统的发展历程和主要控制方式基础上,评述了基于数学模型的传统控制方法和基于模糊控制、神经网络等人工智能技术的智能控制方法在机轮防滞刹车控制中的研究情况,并基于此探讨了近期防滞刹车控制方法的研究方向。
Aircraft anti-brake performance research on the safety of aircraft landing, reducing the workload of the airline maintenance is important. Aircraft anti-brake system is a non-linear system, with complex dynamic characteristics, and the impact of its many factors, to achieve efficient control is very difficult. In view of this problem, on the basis of reviewing the history and main control methods of aircraft anti-brake system, this paper reviews the traditional control methods based on mathematical models and the intelligent control methods based on artificial intelligence such as fuzzy control and neural network. Brake control in the research situation, and based on this to explore the recent anti-brake control method research direction.