Abstract:In recent years, the strapdown system has become the significant trend of the development of precision guided weapons. In order to effectively hit the lightly armored targets, researchers have done a series of studies on the impact angle control. However, most of them ignored the field-of-view constraint of the strapdown seeker. The existing impact angle control guidance laws with the field-of-view constraint have obvious drawbacks to some extent. For example, most of them are only applicable against nonmaneuv… Show more
“…Assumption 3: The AOA of the missile is small enough to be neglected. Hence, we can use the leading angle of the missile to replace the seeker's look angle and the FOV constraint can be given as (19) where ϕ max is the upper limit of the seeker's look angle, which usually satisfies ϕ max ∈ 0, π 2 . We can further assume that the initial leading angle of the missile also satisfies |ϕ M (t o )| < ϕ max .According to Assumption 1-3, we can make the following assumption without any loss of generality:…”
Section: Problem Formulationmentioning
confidence: 99%
“…Liu et al [18] proposed a novel back-stepping FOV constrained IACG scheme by introducing a hyperbolic tangent function and its modification to make the missile fully utilize the maximum achievable range of the seeker's look angle. In [19], a logarithm barrier Lyapunov function based IACG law with the seeker's FOV constraint was proposed to improve the convergence rate of the system. Although the SMC based guidance laws proposed in [17]- [19] are verified to have perfect performance in achieving the impact angle control and addressing the FOV constraint, they are only designed for constant speed missiles.…”
Section: Introductionmentioning
confidence: 99%
“…In [19], a logarithm barrier Lyapunov function based IACG law with the seeker's FOV constraint was proposed to improve the convergence rate of the system. Although the SMC based guidance laws proposed in [17]- [19] are verified to have perfect performance in achieving the impact angle control and addressing the FOV constraint, they are only designed for constant speed missiles.…”
Recently, multiple constraints have been considered in the design of guidance laws. Most of the existing impact angle control guidance laws considering the seeker's field-of-view constraint are only applicable to constant speed missiles and have other limits to some extent. This paper is concerned with the field-of-view constrained impact angle control guidance law applied to variable speed missiles based on the sliding mode control theory. In the design of the sliding mode controller, we use a quadratic Lyapunov function to achieve the impact angle control. Moreover, we introduce an integral barrier Lyapunov function with an adaptive control item to address the field-of-view constraint and prevent the undesirable chattering caused by the disturbance of the nonlinear system. Then, the asymptotic stability of this close-looped system is verified. Eventually, numerical simulations are provided to demonstrate the performance of the proposed guidance law. INDEX TERMS Adaptive control, field-of-view constraint, impact angle control, Lyapunov function, sliding mode control.
“…Assumption 3: The AOA of the missile is small enough to be neglected. Hence, we can use the leading angle of the missile to replace the seeker's look angle and the FOV constraint can be given as (19) where ϕ max is the upper limit of the seeker's look angle, which usually satisfies ϕ max ∈ 0, π 2 . We can further assume that the initial leading angle of the missile also satisfies |ϕ M (t o )| < ϕ max .According to Assumption 1-3, we can make the following assumption without any loss of generality:…”
Section: Problem Formulationmentioning
confidence: 99%
“…Liu et al [18] proposed a novel back-stepping FOV constrained IACG scheme by introducing a hyperbolic tangent function and its modification to make the missile fully utilize the maximum achievable range of the seeker's look angle. In [19], a logarithm barrier Lyapunov function based IACG law with the seeker's FOV constraint was proposed to improve the convergence rate of the system. Although the SMC based guidance laws proposed in [17]- [19] are verified to have perfect performance in achieving the impact angle control and addressing the FOV constraint, they are only designed for constant speed missiles.…”
Section: Introductionmentioning
confidence: 99%
“…In [19], a logarithm barrier Lyapunov function based IACG law with the seeker's FOV constraint was proposed to improve the convergence rate of the system. Although the SMC based guidance laws proposed in [17]- [19] are verified to have perfect performance in achieving the impact angle control and addressing the FOV constraint, they are only designed for constant speed missiles.…”
Recently, multiple constraints have been considered in the design of guidance laws. Most of the existing impact angle control guidance laws considering the seeker's field-of-view constraint are only applicable to constant speed missiles and have other limits to some extent. This paper is concerned with the field-of-view constrained impact angle control guidance law applied to variable speed missiles based on the sliding mode control theory. In the design of the sliding mode controller, we use a quadratic Lyapunov function to achieve the impact angle control. Moreover, we introduce an integral barrier Lyapunov function with an adaptive control item to address the field-of-view constraint and prevent the undesirable chattering caused by the disturbance of the nonlinear system. Then, the asymptotic stability of this close-looped system is verified. Eventually, numerical simulations are provided to demonstrate the performance of the proposed guidance law. INDEX TERMS Adaptive control, field-of-view constraint, impact angle control, Lyapunov function, sliding mode control.
“…A strapdown seeker may be used as part of the guidance system in low-cost missiles because the strapdown seeker can detect the target accurately although it has a relatively simple mechanical structure [13], [14]. However, one of the significant drawbacks of a strapdown seeker is that the seeker's field of view (FOV) is narrower than a gimbaled seeker [15]. In general, a highly curved trajectory is generated for the missile in engagements with the terminal impact angle constraint, and the target can easily move out of the seeker's FOV [6].…”
A Tobit Kalman filter-based guidance system was proposed for expanding the capture region of missiles with a strapdown semiactive laser seeker. The characteristics of the semiactive laser seeker were analyzed, and the narrow field-of-view laser seeker model was used based on the analysis. A guidance filter was designed to utilize the saturated region of the seeker to overcome limited maneuverability arising from the narrow field-of-view range. A Tobit Kalman filter is adopted, and the prediction stage was modified so that the Tobit Kalman filter can be applied for nonlinear process models. The filter model for estimating the look angle, LOS angle, and LOS rate was formulated. The proposed guidance filter can estimate the state more robustly even if saturated measurements are given. This study showed that widening the available field-of-view range can lead to the expansion of the capture region. The impact angle control composite guidance and impact angle control guidance with bearing-only measurement were used for intercepting the target with the desired impact angle. Numerical simulations were performed to demonstrate the effectiveness of the proposed method in the saturated region of the seeker and show that the proposed method can expand the size of the capture region.
“…This controller is applied to the real AC-ROV to compensate the effect of external disturbances and changes in the system parameters. A study, carried out in 31 , compares the performance of a common adaptive control method with an L 1 adaptive control by applying both controllers to a Rohrs and two carts as the benchmark problems.…”
In this paper, a new L1 adaptive back-stepping controller based on the barrier Lyapunov function (BLF) is proposed to respect the position and velocity constraints usually imposed in designing Euler-Lagrange systems. The purpose of this investigation is to improve different aspects of a conventional L1 adaptive control. More specifically, the modified controller has a lower complexity by removing the low-pass filter from the design procedure. The performance of the controller is also enhanced by having a faster convergence speed and increased robustness against nonlinear uncertainties and disturbances arising in practical applications. The proposed scheme is evaluated on two different Euler-Lagrange systems, i.e. a 6-DOF remotely operated vehicle (ROV) and a single-link manipulator. The results for the new back-stepping design are assessed in both scenarios in terms of settling time, percentage of overshoot, and trajectory tracking error. The results confirm that both tracking and state estimation errors for position and velocity outputs outperform the standard L1 adaptive control technique. The results also demonstrate the high performance of the proposed approach in removing the matched nonlinear time-varying disturbances and dynamic uncertainties and a good trajectory tracking despite the uncertainty on the input gain of the system.
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