起落架磁流变减震器电气控制及算法的设计

发布时间：2019-03-29 07:44

【摘要】：随着智能流体材料的研究与应用,阻尼力连续、可调的磁流变减震器在起落架减震方面有很大的发展空间。由于飞机起落架着陆的一瞬间,需要控制系统在很短时间内产生一定大小的激励电流,来提高减震系统的性能,要求控制系统的响应时间小于10ms。本文就模糊PID控制器建模仿真、控制系统硬件电路部分和软件部分的设计等问题进行了分析与研究。主要工作内容如下:(1)模糊PID控制器仿真与分析:建立模糊PID控制器仿真模型,并与前期课题组建立的起落架磁流变减震系统模型相结合,验证模糊PID控制器模型的有效性。(2)控制系统硬件电路与软件的设计:基于MSP430型号的单片机对控制系统硬件电路设计,主要包括:信号采集、信号调理、信号处理和电流驱动电路等,并且在硬件电路中采用电流反馈的方式,控制电流精度进行优化。在控制系统软件的设计中,采用了主程序与各类子程序相结合的方式。为了提高控制算法的精度,采用软件滤波方式,消除信号的噪声和干扰。经过对控制器在线调试,即可对线圈中的环路电流进行实时控制。(3)通过实验,结果显示控制系统的响应时间小于8ms,输出电流为0~2A,验证了控制器硬件电路的稳态特性与动态特性较为优越。
[Abstract]:With the research and application of intelligent fluid materials, the damping force is continuous, and the adjustable magnetorheological shock absorber has great development space in the landing gear damping. As a result of the landing moment of aircraft landing gear, it is necessary for the control system to generate a certain amount of excitation current in a very short time to improve the performance of the damping system. The response time of the control system is required to be less than 10 Ms. In this paper, the modeling and simulation of fuzzy PID controller, the design of hardware circuit and software of control system are analyzed and studied. The main contents are as follows: (1) Simulation and analysis of fuzzy PID controller: the simulation model of fuzzy PID controller is established and combined with the magnetorheological damping system model of landing gear established by the previous research group. The validity of the fuzzy PID controller model is verified. (2) the design of the hardware circuit and software of the control system: the design of the hardware circuit of the control system based on the single chip microcomputer of MSP430 model, which mainly includes: signal acquisition, signal conditioning, and so on. Signal processing, current drive circuit, etc., and in the hardware circuit, the current feedback mode is used to control the current precision to optimize. In the design of control system software, the combination of main program and subroutine is adopted. In order to improve the accuracy of the control algorithm, the software filtering method is used to eliminate the noise and interference of the signal. After on-line debugging of the controller, the loop current in the coil can be controlled in real time. (3) the experimental results show that the response time of the control system is less than 8 Ms, and the output current is 0? It is verified that the steady-state and dynamic characteristics of the hardware circuit of the controller are superior.
【学位授予单位】：中国民航大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：V226.2;TP273

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