Guidance laws for short range tactical missiles

Pastrick, Harold L.; Seltzer, S. M.; Warren, Molly

doi:10.2514/6.1979-59

Cited by 11 publications

(6 citation statements)

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“…Once the interceptor receives target estimates from the network, PPN determines the heading angle rate to be applied in order to achieve interception. Conventional PPN was derived assuming no or little delay [1] [7] [8]. In this paper, the same theory is applied provided that the most current target and interceptor states are available through prediction and GPS, respectively.…”

Section: B Ppn With Msp Delay Compensationmentioning

confidence: 99%

“…For a long time, on-board sensors and radars have served as the means to perform target information acquisition in target tracking and interception systems [1]. Due to the significant increase in field visibility, along with many other advantages (such as failure tolerance and integrity), wireless sensor networks (WSNs) have recently been introduced to target tracking and interception applications [2], [3].…”

Section: Introductionmentioning

confidence: 99%

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Target tracking and interception in wireless sensor networks with compensation of communication delay

Alkharabsheh

Xiao

Lewis

et al. 2007

2007 6th International Conference on Information, Communications &Amp; Signal Processing

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A predictive guidance algorithm that adapts to the network-induced communication delay in Wireless Sensor Network Guided Guidance Systems (WSNGGSs) is proposed. In this algorithm, Multi-Step Predictor (MSP) is used before the conventional Pure Proportional Navigation (PPN) is applied in the guidance loop. The predictor compensates for communication delay and provides PPN with more accurate target estimates. Simulations show that delay compensation can improve the target interception performance significantly.

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Section: B Ppn With Msp Delay Compensationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Target tracking and interception in wireless sensor networks with compensation of communication delay

Alkharabsheh

Xiao

Lewis

et al. 2007

2007 6th International Conference on Information, Communications &Amp; Signal Processing

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“…However, the guidance systems are suffered with parameter variations, such as target maneuver, missile autopilot and turning rate time constants as well as radome aberration error slope effect (denoted as R in Figure 1). Although some neural methods are also proposed for the design, the tradeoffs of the missile turning rate time constant and radome slope error are hardly included [1][2][3][4][5][6][7]. Figure 2 shows the block diagram of the guidance system, in which R is the radome aberration error slope.…”

Section: Introductionmentioning

confidence: 99%

A novel intelligent neural guidance law design by using adjoint method

Lin

2014

2014 International Conference on Machine Learning and Cybernetics

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In this study, we propose a novel intelligent neural guidance law by applying several neural network optimization algorithms alternatively in each step, such as Gradient Descent (GD), Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG) methods. The missile turning rate time constant, radome slope error, initial heading error and the noise effects in the guidance loop (such as target maneuver, glint, and fading noises) are taken into consideration by using the adjoint simulation technique. Comparisons with the traditional proportional navigation (PN) method and those applying only one optimization algorithm for the cases of lower and higher altitudes are also made; note that the miss distances obtained by the proposed neural guidance law are always lower.

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“…However, for effective intercept, it is of interest to have optimal control on the direction of relative terminal velocity as well as relative terminal position, meanwhile for rendezvous/soft landing problem, the zero relative terminal velocity must be satisfied too. An extensive literature review on guidance laws, in general, and OGLs, in particular has been performed in [9,10].…”

Section: Introductionmentioning

confidence: 99%