Robust Integrated Guidance and Control Design for Tactical Missiles

Panchal, Bhavnesh; Subramanian, K.; Talole, S. E.

doi:10.2514/6.2018-1120

Cited by 6 publications

(5 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consider the integrated guidance and control system for the "leader" (equation (4)). If the convergence rate is calculated using (25), the disturbance values of the system (see (4)) are estimated using (10)- (12), and filter equations (16) and (21) are implemented; then finally under the dynamic surface sliding-mode control law (see (26)), imposing the constraint for ensuring the system (see (4)) output error converging into the adjacent area of the origin, an arbitrary adjacent area of the origin can be obtained with the appropriate design parameter determined.…”

Section: Stability Analysismentioning

confidence: 99%

“…The sliding-mode control method has been widely used in the design of IGC of aircraft [17], missile [18], and unmanned helicopter [19,20]. In existing papers, most of them were designed in a single channel [21,22], regardless of the coupling between channels. The authors in [23,24] designed IGC algorithms in three dimensions, but designing the controller is difficult when establishing the model with a high order.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research on Integrated Guidance and Control of Distributed Cooperation of Multi-Interceptor with State Coupling

Liu

Liang

2018

Journal of Control Science and Engineering

View full text Add to dashboard Cite

With the aim of achieving cooperative target interception by using multi-interceptor, a distributed cooperative control algorithm of the multi-interceptor with state coupling is proposed based on the IGC (integrated guidance and control) method. Considering the coupling relationship between the pitch and ya w channels, a state coupling “leader” IGC model is established, an FTDO (finite-time disturbance observer) is designed for estimating the unknown interference of the model, and the “leader” controller is designed according to the adaptive dynamic surface sliding-mode control law. Secondly, the cooperative control strategy of the multi-interceptor is designed with the “leader-follower” distributed network mode to obtain the speed in the three directions of the interceptor in air and transform them to the general flight speed, trajectory inclination angle, and trajectory deflection instruction by using the transformational relation of kinematics. Finally, the “follower” controller is designed with the FTDO and dynamic surface sliding-mode control. The designed multi-interceptor distributed cooperative IGC algorithm with state coupling has good stability according to the simulation results of two different communication topologies.

show abstract

Section: Stability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Integrated Guidance and Control of Distributed Cooperation of Multi-Interceptor with State Coupling

Liu

Liang

2018

Journal of Control Science and Engineering

View full text Add to dashboard Cite

show abstract

“…Coupling the control and guidance brings about superior endgame interception performance, such as shorter interception time, lower miss distance, and lesser energy consumption. The IGC literature shows that these achievements are obtained for IGC design based on different control theories including the feedback linearization, 3,4 sliding mode control, [5][6][7] backstepping scheme, [8][9][10][11] finite horizon state dependent Riccati equation methodology, 12,13 small-gain theorem utilization, 14 fuzzy logic approach, 15 adaptive control, 16 and model predictive control. [17][18][19] Model predictive control (MPC) is one of the most useful model-based control strategies which employs a model to predict the future process behavior and calculates an optimal control input sequence at each time step through the optimization of an objective function.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Three-dimensional continuous-time integrated guidance and control design using model predictive control

Sheikhbahaei

Khankalantary

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

View full text Add to dashboard Cite

In this study, a novel three-dimensional continuous-time integrated guidance and control (IGC) scheme is presented. The proposed method is developed on the basis of generalized model predictive control (GMPC) approach and super-twisting extended state observer (STESO). The GMPC is used to generate the optimal closed form control law for the interceptor and the STESO is applied to estimate the maneuvering target lateral accelerations as well as the lumped disturbances. To the aim of IGC design, a six-degrees-of-freedom model based on the interceptor-target kinematics and interceptor dynamics is constructed. Afterward, the GMPC control law formulation for a nonlinear system exposed to disturbances is extracted. Finally, the effectiveness of the proposed IGC system is studied by numerical simulations. The simulation results reveal satisfactory interception performance including less energy consumption in comparison to a recently proposed successful IGC method.

show abstract

“…However, missiles face interference from various uncertainties during the attitude control process. If the anti-interference performance is not good, it will seriously affect the missile's command tracking accuracy [1][2][3][4][5][6]. Therefore, the designed controller must ensure the performance and stability robustness of the system under strong uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Attitude Autopilot Design Based on Fuzzy Linear Active Disturbance Rejection Control

Han

Shi

2022

Aerospace

View full text Add to dashboard Cite

In view of the multi-source uncertainty disturbance problem during flight control, the attitude autopilot based on fuzzy linear active disturbance rejection control (F-LADRC) was proposed. A second-order linear active disturbance rejection controller was designed to stabilize the attitude angle of the missiles, and the frequency domain characteristics were analyzed. Firstly, it was proved that the linear expansion state observer (LESO) is convergent and can achieve the indifference estimation of the system state variables and total disturbance. Then, it was proved that the linear active disturbance rejection control (LADRC) possesses disturbance rejection characteristics, and the influence of the bandwidth parameter on the disturbance rejection performance of the system was analyzed. The fuzzy control was used to adjust the parameter adaptively. Finally, the tracking, robustness, and anti-disturbance of the F-LADRC attitude autopilot were verified by performing simulations.

show abstract

Robust Integrated Guidance and Control Design for Tactical Missiles

Cited by 6 publications

References 35 publications

Research on Integrated Guidance and Control of Distributed Cooperation of Multi-Interceptor with State Coupling

Research on Integrated Guidance and Control of Distributed Cooperation of Multi-Interceptor with State Coupling

Three-dimensional continuous-time integrated guidance and control design using model predictive control

Attitude Autopilot Design Based on Fuzzy Linear Active Disturbance Rejection Control

Contact Info

Product

Resources

About