Barrier Lyapunov function-based integrated guidance and control with input saturation and state constraints

Liu, Wangkui; Wei, Yiyin; Duan, Guang‐Ren

doi:10.1016/j.ast.2018.11.019

Cited by 43 publications

(14 citation statements)

References 35 publications

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“…To perform IGC, various control techniques are introduced. From classical control techniques to various nonlinear control techniques, including feedback linearization [2], sliding mode control [3,4], backstepping control [5], dynamic surface technique [6][7][8], and optimization-based methods [9] have been applied to solve the problem. Shima et al [3] proposed a sliding mode control (SMC)-based IGC, enhancing the robustness of overall systems.…”

Section: Introductionmentioning

confidence: 99%

“…Of many optimization-based methods, the Model Predictive Control (MPC) technique has been thought to be a powerful solution for IGC [10][11][12][13][14][15]. Compared to the other control techniques utilized in the previous research [2][3][4][5][6][7][8][9], online MPC provides the optimal solution within certain state constraints. MPC produces a control input that minimizes the objective function specified on the receding prediction horizon.…”

Section: Introductionmentioning

confidence: 99%

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GPU-Accelerated PD-IPM for Real-Time Model Predictive Control in Integrated Missile Guidance and Control Systems

Lee

Kim³

et al. 2022

Sensors

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This paper addresses the problem of real-time model predictive control (MPC) in the integrated guidance and control (IGC) of missile systems. When the primal-dual interior point method (PD-IPM), which is a convex optimization method, is used as an optimization solution for the MPC, the real-time performance of PD-IPM degenerates due to the elevated computation time in checking the Karush–Kuhn–Tucker (KKT) conditions in PD-IPM. This paper proposes a graphics processing unit (GPU)-based method to parallelize and accelerate PD-IPM for real-time MPC. The real-time performance of the proposed method was tested and analyzed on a widely-used embedded system. The comparison results with the conventional PD-IPM and other methods showed that the proposed method improved the real-time performance by reducing the computation time significantly.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

GPU-Accelerated PD-IPM for Real-Time Model Predictive Control in Integrated Missile Guidance and Control Systems

Lee

Kim³

et al. 2022

Sensors

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“…The system was stabilized through the classical dynamic surface control method, and a linear matrix inequality approach was utilized for the analysis of the quadratic stability of the integrated system. Liu et al [24] combined dynamic surface control with the Barrier Lyapunov Function (BLF) for skid-to-turn missiles. Input saturation and constraints of attack angle, sideslip angle, and velocity deflection angle were taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

Integrated Guidance and Control Using Model Predictive Control with Flight Path Angle Prediction against Pull-Up Maneuvering Target

Park

Kim

2020

Sensors

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Integrated guidance and control using model predictive control against a maneuvering target is proposed. Equations of motion for terminal homing are developed with the consideration of short-period dynamics as well as actuator dynamics of a missile. The convex optimization problem is solved considering inequality constraints that consist of acceleration and look angle limits. A discrete-time extended Kalman filter is used to estimate the position of the target with a look angle as a measurement. This is utilized to form a flight-path angle of the target, and polynomial fitting is applied for prediction. Numerical simulation including a Monte Carlo simulation is performed to verify the performance of the proposed algorithm.

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“…The IGC has many superiorities, such as improving performance, reducing implementation cost and maximizing the adjustability of missile. It was proposed for the first time by Williams et al [1] The IGC views the guidance subsystem and control subsystem as a whole and directly generates the fin deflection commands according to the states of the missile and relative information between the missile and target to drive the missile to intercept the target [2]. Therefore, the synergistic relationships between the guidance and control subsystem can be fully exploited to optimize the performance of the overall system.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Integrated Guidance and Control for a STT Missile Based on Improved RISE in Series

Tan

Ming

et al. 2019

IEEE Access

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A novel three-dimensional integrated guidance and control (3D-IGC) approach is developed for sliding-to-turn (STT) missile, which achieves an asymptotic tracking performance with various disturbances. First, a nonlinear state-space model is established to design the 3D-IGC law. Then, a control approach based on the improved robust integral of the sign of error (RISE) is proposed to guarantee both the angle and angular rates of the look of sight (LOS) to be tightly tracked. In addition, a novel error transformation is introduced so as to transmit the mismatched modeling uncertainties to control input channel. Then, the improved RISE can handle both mismatched and matched modeling uncertainties together in the design of the controller. The closed-loop system stability and the convergence characteristic are rigorously proved via Lyapunov theory. Finally, the extensive contrast simulations are implemented to demonstrate the effectiveness and robustness of the proposed control strategy. INDEX TERMS Integrated guidance and control, RISE, modeling uncertainty, asymptotic tracking.

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Barrier Lyapunov function-based integrated guidance and control with input saturation and state constraints

Cited by 43 publications

References 35 publications

GPU-Accelerated PD-IPM for Real-Time Model Predictive Control in Integrated Missile Guidance and Control Systems

GPU-Accelerated PD-IPM for Real-Time Model Predictive Control in Integrated Missile Guidance and Control Systems

Integrated Guidance and Control Using Model Predictive Control with Flight Path Angle Prediction against Pull-Up Maneuvering Target

Three-Dimensional Integrated Guidance and Control for a STT Missile Based on Improved RISE in Series

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