Adaptive Fuzzy Back-stepping Control of a Flexible Air-breathing Hypersonic Vehicle Subject to Input Constraints

Wang, Pengfei; Wang, Jie; Bu, Xiangwei; Luo, Chang; Tan, Shili

doi:10.1007/s10846-016-0438-9

Cited by 18 publications

(10 citation statements)

References 19 publications

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“…In recent years, with the rapid development of Artificial Intelligence (AI) technology [1,2], many intelligent algorithms, such as genetic algorithms, expert intelligence systems [3,4], neural network algorithms [5][6][7], and fuzzy logic algorithms [8,9] are widely used in the automation research of automobiles and aerial vehicle [10]. On the other side, the revolution of navigation technology also promoted the development of ship automation and ship intelligence technology, and the Maritime Autonomous Surface Ships (MASS) or the Unmanned Surface Vehicles (USV) have become a popular research topic [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

COLREGs-Compliant Unmanned Surface Vehicles Collision Avoidance Based on Multi-Objective Genetic Algorithm

Ning

Chen

et al. 2020

IEEE Access

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Autonomous ships or Unmanned Surface Vehicles (USV) collision avoidance and path planning problems among multi-vessels are investigated in this paper. Firstly, a modified fuzzy dynamic risk of collision model based on time and space collision risk index is proposed, which is much closer to real ship applications. Then, the fitness functions based on the risk of collision, navigational economy, International Regulations for Preventing Collisions at Sea 1972 (COLREGs) and collision avoidance timing are established respectively to ensure the rationality of ship collision avoidance decisions. Moreover, path planning with global search capability is realized by the multi-objective decision theory combined with a genetic algorithm. The practicability and rationality of the recommended trajectory are guaranteed. Meanwhile, the problem of the non-inferior solution can be addressed by adapting the weight method and the constraint method and the optimized solution of the decision-making system can be achieved finally. Simulation results are further presented to validate the effectiveness of the proposed path planning and collision avoidance methods.

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Section: Introductionmentioning

confidence: 99%

COLREGs-Compliant Unmanned Surface Vehicles Collision Avoidance Based on Multi-Objective Genetic Algorithm

Ning

Chen

et al. 2020

IEEE Access

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“…Gao et al [15] introduces fuzzy system into the subsystems of FAHV models, and estimating unknown functions online, but the algorithm requires that the unknown functions to be approximated are strictly positive and bounded. In view of the uncertainties of system, [13] and [16] ignore some dynamic characteristics of FAHV, and design control laws based on strict feedback forms. However, the FAHVs' models are non-affine in the control inputs since the drag force D contains δ 2 e [17], [18].…”

Section: Introductionmentioning

confidence: 99%

Novel Fuzzy Approximation Control Scheme for Flexible Air-Breathing Hypersonic Vehicles With Non-Affine Dynamics and Amplitude and Rate Constraints

2019

IEEE Access

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This paper proposes a novel fuzzy control scheme for flexible air-breathing hypersonic vehicle (FAHV) non-affine models with amplitude and rate constraints. First, the non-affine dynamics of the FAHV is decomposed into velocity subsystem and altitude subsystem, then the non-affine models of each subsystem are converted into equivalent pure feedback forms, and the fuzzy approximator is used to estimate the total uncertainties of each subsystem. Since the input of control system can be limited by the actual actuator, a new error compensation auxiliary system is proposed to solve the amplitude and rate constraints of the actuator, and a fuzzy controller with auxiliary systems is designed. The stability of the closed-loop system is proved by the Lyapunov method. Through simulation verification, the effective performance of the control system has been proved. INDEX TERMS Fuzzy approximator, flexible air-breathing hypersonic vehicle (FAHV), non-affine dynamics, error compensation auxiliary system, amplitude and rate constraints.

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“…Ref. [17] discusses the design of HFV adaptive fuzzy backstepping tracking control with actuator constraints and applies the fuzzy logic system to approximate analysis of the total uncertainty of the fuzzy fractal method model. Based on the control-oriented model of HFV, an adaptive backstepping controller and a dynamic inverse controller are designed for the altitude subsystem and velocity subsystem, respectively, in Ref.…”

Section: Introductionmentioning

confidence: 99%

Prescribed Performance Tracking Control for Hypersonic Flight Vehicles with Model Uncertainties

Zhao

et al. 2019

International Journal of Aerospace Engineering

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This paper proposes a novel prescribed performance tracking control for a hypersonic flight vehicle (HFV) with model uncertainties. Firstly, a HFV longitudinal motion model is decomposed into a velocity subsystem and an altitude subsystem. Meanwhile, considering the uncertainties of the model, the velocity subsystem and altitude subsystem are directly expressed as the forms with unknown nonaffine functions. Secondly, a novel performance function without initial error is proposed for limiting the tracking error into a prescribed range. Then, for the altitude subsystem, the control objective is changed by model transformation and the prescribed performance backstepping controller is designed. For the velocity subsystem, a prescribed performance proportional-integral controller is proposed which has better engineering practicability. The designed controller is not only simple in form but also has few calculating parameters. Finally, the simulation results show that the proposed controller has good practicability.

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Adaptive Fuzzy Back-stepping Control of a Flexible Air-breathing Hypersonic Vehicle Subject to Input Constraints

Cited by 18 publications

References 19 publications

COLREGs-Compliant Unmanned Surface Vehicles Collision Avoidance Based on Multi-Objective Genetic Algorithm

COLREGs-Compliant Unmanned Surface Vehicles Collision Avoidance Based on Multi-Objective Genetic Algorithm

Novel Fuzzy Approximation Control Scheme for Flexible Air-Breathing Hypersonic Vehicles With Non-Affine Dynamics and Amplitude and Rate Constraints

Prescribed Performance Tracking Control for Hypersonic Flight Vehicles with Model Uncertainties

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