Classical and fuzzy-system guidance laws in homing missiles systems

2005 ◽  
Author(s):  
G.M. Dimirovski ◽  
S.M. Deskovski ◽  
Z.M. Gacovski
Keyword(s):  
Fuzzy System ◽  
Homing Missiles ◽  
Guidance Laws

Multi-agent cooperative multi-model adaptive guidance law

2021 ◽  
pp. 1-27
Author(s):  
S.B. Wang ◽  
S.C. Wang ◽  
Z.G. Liu ◽  
S. Zhang ◽  
Y. Guo
Keyword(s):  
Adaptive Estimation ◽  
Control Input ◽  
Control Effort ◽  
Cooperative Strategies ◽  
Guidance Law ◽  
Optimal Guidance ◽  
Multi Agent ◽  
Homing Missiles ◽  
Analytical Expressions ◽  
Guidance Laws

ABSTRACT A multi-agent engagement scenario is considered in which a high-value aircraft launches two defenders to intercept two homing missiles aimed at the aircraft. Under the assumption that all aircrafts have first-order linear dynamic characteristics, a combined multiple-mode adaptive estimation (MMAE) and a two-way cooperative optimal guidance law are proposed for the target–defenders team. Considering the full cooperation of the target and both the two defenders, the two-way cooperative strategies provide the analytical expressions for their optimal control input, enabling the target–defenders team to intercept the missiles with minimal control effort. To successfully intercept the missiles, MMAE is used to identify the guidance laws adopted by the missiles and estimate their states. The simulation results show that the target cooperating with the defenders to perform lure manoeuvres for the missiles can improve the guidance performance of the defenders as well as reduce the control effort of the defenders for intercepting the missiles.

scholarly journals Time-Varying Biased Proportional Guidance with Seeker’s Field-of-View Limit

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Zhe Yang ◽  
Hui Wang ◽  
Defu Lin
Keyword(s):  
Impact Angle ◽  
Field Of View ◽  
Line Of Sight ◽  
Terminal Phase ◽  
Time Varying ◽  
Guidance Law ◽  
Homing Missiles ◽  
Guidance Laws ◽  
Bias Terms ◽  
Impact Angle Constraint

Traditional guidance laws with range-to-go information or time-to-go estimation may not be implemented in passive homing missiles since passive seekers cannot measure relative range directly. A time-varying biased proportional guidance law, which only uses line-of-sight (LOS) rate and look angle information, is proposed to satisfy both impact angle constraint and seeker’s field-of-view (FOV) limit. In the proposed guidance law, two time-varying bias terms are applied to divide the trajectory into initial phase and terminal phase. The initial bias is designed as a function of LOS rate and look angle to maintain the seeker’s lock-on while the final bias eliminates the deviation between the integral value of angle control bias and the expected bias amount. A switching logic is adopted to change the biases continuously so that there is no abrupt acceleration change during the engagement. Extensive simulations considering both kinematic and realistic missile models are performed to illustrate the efficiency of the proposed method.

Penerapan Logika Samar dalam Peramalan Data Runtun Waktu

2011 ◽  
Vol 3 (2) ◽  
pp. 11-15
Author(s):  
Seng Hansun
Keyword(s):  
Time Series ◽  
Fuzzy Logic ◽  
Time Series Analysis ◽  
Fuzzy Sets ◽  
Fuzzy System ◽  
Time Series Data ◽  
Fuzzy Logic System ◽  
Series Data ◽  
Series Analysis ◽  
Logic System

Recently, there are so many soft computing methods been used in time series analysis. One of these methods is fuzzy logic system. In this paper, we will try to implement fuzzy logic system to predict a non-stationary time series data. The data we use here is Mackey-Glass chaotic time series. We also use MATLAB software to predict the time series data, which have been divided into four groups of input-output pairs. These groups then will be used as the input variables of the fuzzy logic system. There are two scenarios been used in this paper, first is by using seven fuzzy sets, and second is by using fifteen fuzzy sets. The result shows that the fuzzy system with fifteen fuzzy sets give a better forecasting result than the fuzzy system with seven fuzzy sets. Index Terms—forecasting, fuzzy logic, Mackey-Glass chaotic, MATLAB, time series analysis

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