Research on Multiple Filter Signal Compensation for Washout Algorithm Optimization of Flight Simulator

doi:10.16182/j.issn1004731x.joss.21-0896

Abstract

Abstract:

Aiming at the defects of signal loss and poor adaptability of the classical washout algorithm when applied to flight simulator, an optimization scheme of washing algorithm based on multiple filtering signal compensation is proposed. Analyzing the lost signal in classical washout algorithm, intercepting the lost signals to the depth filter with depth filtering strategy, basing on human perception errors and platform movement margin, after multiple filtering signal to certain proportion respectively compensation to the three channel of washout algorithm to achieve the maximum reduction of signal loss, thus reducing human perception error. The classical washing algorithm and the improved washing algorithm are compared by simulation and experiment, the results show that the improved washout algorithm reduces the human perception error, reduces the loss of signal, improves the phase delay, makes full use of the motion platform work space, and increases the fidelity of the motion.

Key words: washout algorithm, flight simulator, multiple filtering, human perception, dynamic fidelity

CLC Number:

TP391

Weichao Liu, Hui Wang. Research on Multiple Filter Signal Compensation for Washout Algorithm Optimization of Flight Simulator[J]. Journal of System Simulation, 2023, 35(1): 137-145.

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序号	主要参数	量值	序号	主要参数	量值
1	加速度深度高通滤波器阶次	3	8	截止频率ω_a_l_x 、 ω_a_l_y /(rad·s^-1)	1
2	深度低通滤波器阶次	2	9	阻尼比(高低通) ζ	1
3	角速度深度高通滤波器阶次	2	10	截止频率ω_a_hd_x /(rad·s^-1)	1.5
4	平动滤波器阶次	3	11	截止频率ω_a_hd_y 、 ω_a_hd_z /(rad·s^-1)	3
5	截止频率ω_a_h_x /(rad·s^-1)	2.5	12	截止频率ω_a_lb_x 、 ω_a_lb_y /(rad·s^-1)	3
6	截止频率ω_a_h_y 、 ω_a_h_z /(rad·s^-1)	4	13	截止频率 ω_ω_h/(rad·s^-1)	4
7	一阶截止频率 ω_m/(rad·s^-1)	1	14	截止频率 ω_ω_hd/(rad·s^-1)	2.5

FP1， FP2		E_a， E_ω
FP1， FP2		NB	N	Z	P	PB
R_s， R_β	NB	NB	NB	NB	NB	NB
	N	NB	N	N	Z	Z
	Z	N	Z	Z	P	P
	P	Z	P	P	PB	PB
	PB	Z	P	PB	PB	PB

主要参数	经典洗出	遗传算法优化洗出	改进洗出
感知比力峰值/(m·s^-2)	0.70	0.72	0.80
感觉峰值延迟/s	2.88	2.60	1.40
感知误差峰值/(m·s^-2)	0.693	0.664	0.578
感知误差均方根/(m·s^-2)	0.420	0.402	0.320
极限位移/m	0.019	0.013	0.027

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