基于DSP的光电吊舱控制系统硬件设计与实现

Zhigang Feng, M. Jin
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摘要

光电吊舱工作在复杂的环境中,不可避免地会受到风阻、机械振动、负载扰动等因素的影响。这些随机因素和非线性因素导致控制精度降低,从而损坏光电吊舱的硬系统。传统的光电吊舱控制系统通常采用PID控制算法来消除控制目标与实际反馈之间的误差。然而,在复杂的环境中,传统的PID无法对变分变量进行跟踪。它会导致控制精度降低,响应速度变慢。光电吊舱自适应控制系统采用自抗扰控制(ADRC)技术,能够跟踪、估计和补偿突变扰动。本文设计并实现了光电吊舱控制系统,利用TMS320F28335对传感器信号进行采集,执行控制算法,驱动直流转矩电机。角位移传感器获取姿态角位移,陀螺仪获取姿态角速度。该系统可以获取光电吊舱的姿态信息。电机分流器检测电机的驱动电流,完成直流转矩电机的控制反馈。EEPROM存储控制参数,并根据DSP指令发送相关参数。实验结果表明,DSP数据处理单元能在正常状态下正确采集传感器内部数据,并能在扰动环境下稳定地执行控制算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware Design and Implementation of Optoelectronic Pod Control System Based on DSP
The optoelectronic pod always works in complicated environment, so it was impacted inevitably on various of elements such as Windage, Mechanical vibration, Load disturbance and so on. These random factors and nonlinear factors led to reduce the control precision, so much so that it can damage the hard-system of the optoelectronic pod. Traditional control system of optoelectronic pod always adopts PID control algorithm to eliminate errors between control target and actual feedback. However, the traditional PID can’t track variational variables such in the complicated environment. It can led to lower the control precision and slow the speed of response. Self-adaption control system of optoelectronic pod adopts active disturbance rejection control (ADRC) technique which can track the mutational disturbance, estimates it and compensates it. In this paper, optoelectronic pod control system is designed and implemented by using TMS320F28335 to acquire the sensor signals, execute control algorithm, and drive the DC torque motor. The angular displacement sensors acquire the attitude angular displacement and the gyroscope acquires the attitude angular speed. The system can get attitude information of the optoelectronic pod with them. The motor diverters detect the driven current of motor to complete control feedback of DC torque motor. The EEPROM stores control parameters and sends relevant parameters according to DSP instructions. Experimental results indicate that DSP data processing unit can acquire the inner sensors data correctly in normal state, and perform control algorithms steadily in the disturbed environment.
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