The Experts below are selected from a list of 9 Experts worldwide ranked by ideXlab platform
Radhakant Padhi - One of the best experts on this subject based on the ideXlab platform.
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generalized model predictive static programming and angle constrained guidance of air to ground Missiles
Journal of Guidance Control and Dynamics, 2014Co-Authors: Arnab Maity, Harshal B Oza, Radhakant PadhiAbstract:A new generalized model predictive static programming technique is presented for rapidly solving a class of finite-horizon nonlinear optimal control problems with hard terminal constraints. Two key features for its high computational efficiency include one-time backward integration of a small-dimensional weighting matrix dynamics, followed bya static optimization formulation that requires only a static Lagrange multiplier to update the control history. It turns out that under Euler integration and rectangular approximation of finite integrals it is equivalent to the existing model predictive static programming technique. In addition to the benchmark double integrator problem, usefulness of the proposed technique is demonstrated by solving a three-dimensional angle-constrained guidance problem for an Air-to-Ground Missile, which demands that the Missile must meet constraints on both azimuth and elevation angles at the impact point in addition to achieving near-zero miss distance, while minimizing the lateral acceleration demand throughout its flight path. Simulation studies include maneuvering ground targets along with a first-order autopilot lag. Comparison studies with classical augmented proportional navigation guidance and modern general explicit guidance lead to the conclusion that the proposed guidance is superior to both and has a larger capture region as well.
Zhikai Wang - One of the best experts on this subject based on the ideXlab platform.
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Research on Sliding Mode Method about Three-Dimensional Integrated Guidance and Control for Air-to-Ground Missile
Departamento de Ciência e Tecnologia Aeroespacial, 2019Co-Authors: Zhikai WangAbstract:Based on adaptive sliding mode-control and back-stepping design method, an integrated guidance and control method with less calculation is proposed, which is designed for Air-to-Ground Missile during the terminal course in three-dimensional space. The model of the control system with nonlinear and coupling is simplified, then the integrated guidance and control model in pitch and yaw channel is established. The coupling terms and modeling error between channels is considered as unknown bounded disturbance. An extended state observer is developed to estimate and compensate the unknown disturbance. In the design process, the block dynamic surface method is adopted, and the first order low pass filter is introduced to avoid the problem of differential explosion present in the traditional back-stepping design method during the process of differentiating virtual control variable. The Lyapunov stability theory is used to prove the stability of the system. Finally, in the case of nominal and positive and negative perturbations of model parameters, the simulation experiments are carried outto verify the effectiveness of the proposed IGC algorithm
H U Denggu - One of the best experts on this subject based on the ideXlab platform.
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study on parabola trajectory simulation of air to ground Missile on non standard meteorological condition
Computer Engineering, 2014Co-Authors: H U DengguAbstract:To study the impact of the non-standard meteorological factors on Missile motion characteristics,combining with the basic equations of atmospheric motion and classical trajectory model,the model of the parabola-trajectory is established under the non-standard weather condition. Besides,an easy-to-program numerical solution of the basic equations of atmospheric motion is presented,and with which the Missile's point coordinate(20 565. 8,0,- 1 389) under the non-standard atmosphere is obtained by solving its kinetic equations and kinematics equations using numerical integral method of variable-step four orders Runge-Kutta. The result demonstrates that the Missile's flight trajectory changes under different meteorological conditions. The visual simulation of the Air-to-Ground Missile flight-attack by the threedimensional visualization modules of STK(Satellite Tool Kit) is realized,which exhibits good performance.
Arnab Maity - One of the best experts on this subject based on the ideXlab platform.
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generalized model predictive static programming and angle constrained guidance of air to ground Missiles
Journal of Guidance Control and Dynamics, 2014Co-Authors: Arnab Maity, Harshal B Oza, Radhakant PadhiAbstract:A new generalized model predictive static programming technique is presented for rapidly solving a class of finite-horizon nonlinear optimal control problems with hard terminal constraints. Two key features for its high computational efficiency include one-time backward integration of a small-dimensional weighting matrix dynamics, followed bya static optimization formulation that requires only a static Lagrange multiplier to update the control history. It turns out that under Euler integration and rectangular approximation of finite integrals it is equivalent to the existing model predictive static programming technique. In addition to the benchmark double integrator problem, usefulness of the proposed technique is demonstrated by solving a three-dimensional angle-constrained guidance problem for an Air-to-Ground Missile, which demands that the Missile must meet constraints on both azimuth and elevation angles at the impact point in addition to achieving near-zero miss distance, while minimizing the lateral acceleration demand throughout its flight path. Simulation studies include maneuvering ground targets along with a first-order autopilot lag. Comparison studies with classical augmented proportional navigation guidance and modern general explicit guidance lead to the conclusion that the proposed guidance is superior to both and has a larger capture region as well.
Harshal B Oza - One of the best experts on this subject based on the ideXlab platform.
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generalized model predictive static programming and angle constrained guidance of air to ground Missiles
Journal of Guidance Control and Dynamics, 2014Co-Authors: Arnab Maity, Harshal B Oza, Radhakant PadhiAbstract:A new generalized model predictive static programming technique is presented for rapidly solving a class of finite-horizon nonlinear optimal control problems with hard terminal constraints. Two key features for its high computational efficiency include one-time backward integration of a small-dimensional weighting matrix dynamics, followed bya static optimization formulation that requires only a static Lagrange multiplier to update the control history. It turns out that under Euler integration and rectangular approximation of finite integrals it is equivalent to the existing model predictive static programming technique. In addition to the benchmark double integrator problem, usefulness of the proposed technique is demonstrated by solving a three-dimensional angle-constrained guidance problem for an Air-to-Ground Missile, which demands that the Missile must meet constraints on both azimuth and elevation angles at the impact point in addition to achieving near-zero miss distance, while minimizing the lateral acceleration demand throughout its flight path. Simulation studies include maneuvering ground targets along with a first-order autopilot lag. Comparison studies with classical augmented proportional navigation guidance and modern general explicit guidance lead to the conclusion that the proposed guidance is superior to both and has a larger capture region as well.