MIDCOURSE GUIDANCE A PROJECTILE OPTIMIZATION USING PARTICLE SWARM ALGORITHM

Zardashti, Reza; Elahi, Mustafa

doi:10.22034/joae.2020.122713

MIDCOURSE GUIDANCE A PROJECTILE OPTIMIZATION USING PARTICLE SWARM ALGORITHM

Document Type : Original Article

Authors

Reza Zardashti

Mustafa Elahi

10.22034/joae.2020.122713

Abstract

In this paper, the problem of guidance in the mid-course of a projectile’s flight has been addressed to meet the requirements and limitations of the homing phase. These requirements and constraints are usually for low cost systems that are required to increase their range, including the angle of priority (angle of view) and the flight path angle (the angle of impact) of the projectile along with the amount of control effort obtained in the mid-course. Obviously, if these requirements are met, the success of the projectile mission will increase. Therefore, considering the importance of the problem and despite the various and scattered works that have been done so far, in this research, first the mid-course guidance optimization problem of the projectile based on a performance function consisting of the control effort criterion, and also the final values of view angle and flight angle in the mid-course is defined as the penalty functions, respectively. Then, using the particle swarm optimization algorithm, optimal acceleration commands are generated. The simulation results compared with other methods show the proper functioning of the algorithm and its ability to solve more complex models.

Keywords

Guidance Design

Mid-Course Guidance

increase the accuracy

particle swarm optimization algorithm

control effort

lead angle

flight path angle

20.1001.1.17359449.1399.22.1.4.6

[1].Yung-Lung Lee, The Design of a Modified PSO Guidance Law Using Predictor and LOS Rate. MATEC Web of Conferences 71 , 02001 2016.

[2].B.GYUN PARK, OPTIMAL IMPACT ANGLE CONSTRAINED GUIDANCE WITH THE SEEKER’S LOCK-ON CONDITION. KSIAM Vol.19, No.3, 289–303, 2015.

[3].C.Chun Kung, MISSILE GUIDANCE ALGORITHM DESIGN USING PARTICLE SWARM OPTIMIZATION, Transactions of the Canadian Society for Mechanical Engineering, Vol. 37, No. 3, 2013.

[4].B.Ju Jeon, Optimal Midcourse Guidance Law with Flight Path Angle and Lead Angle Constraints to Reach Circular Target Area, 19th IFAC Symposium on Automatic Control in Aerospace, , pp. 336-340, 2013.

[5].N. Dwivedi, P & G. Bhale, Prashant & Bhattacharyya, Abhijit & Padhi, R, Lead Angle Constrained Optimal Midcourse Guidance .10.2514/6.2013.

[6].L.Hassan, An Optimal Fuzzy Logic Guidance Law using Particle Swarm Optimization, International Journal of Computer Applications (0975 – 8887).Volume 69– No.3, May 2013.

[7].B.Gyun Park, Optimal impact angle control guidance law considering the seeker’s field-of-view limits , J Aerospace Engineering, pp. 1347–1364, 2012.

[8].E.J Ohlmeyer, OPTIMAL MIDCOURSE GUIDANCE LAW WITH NEURAL NETWORKS, 15th Triennial World Congress, Barcelona, Spain, pp. 109-113,2002.

[9]. ر.حسامی رستمی و ع.طلوعی،« طراحی مسیر بهینه فاز میانی موشک زمین به هوا با استفاده از الگوریتمهای ژنتیک و حرکت گروهی ذرات»،پایان نامه کارشناسی ارشد،1394

[10]. م. نیکوسخن و س.ی. نبوی و ه. نوبهاری،« قوانین هدایت بهینه فاز میانی موشک های زمین به هوا»در ششمین کنفرانس سراسری انجمن هوافضای ایران،اسفند 1385.