Nonlinear FOPID and Active Disturbance Rejection Hypersonic Vehicle Control Based on DEM Biogeography-Based Optimization

Lin, Jian Hung; Wang, Lun; Wang, Xu; Guo, Xianghong

doi:10.1061/(asce)as.1943-5525.0000786

Cited by 13 publications

(7 citation statements)

References 24 publications

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“…Lots of advanced approaches have been proposed to realize the stability of the system with uncertainties, such as a new class of Nussbaum-type function-based algorithms (Wang et al, 2020), a novel mathematical fuzzy hybrid scheme (Ali et al, 2016), and the active disturbance rejection control (ADRC; Wei et al, 2021). The ADRC is first proposed by Han (2009) with nonlinear form and is an efficient robust control method (Liu et al, 2017;Song et al, 2015Song et al, , 2017.…”

Section: Introductionmentioning

confidence: 99%

Stability and performance comparison analysis for linear active disturbance rejection control–based system

Zhao

et al. 2022

Transactions of the Institute of Measurement and Control

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This paper investigates the stability and performance of the linear active disturbance rejection control (LADRC)–based system with uncertainties and external disturbance via transfer functions and a frequency-domain view. The performance of LADRC is compared with the state-observer-based state feedback control (SOSFC) and state feedback control (SFC). First, the transfer functions and the error transfer functions for LADRC, SOSFC, and SFC are studied using the state-space method. It is proven that the LADRC-, SOSFC-, and SFC-based closed-loop systems have the same transfer function from the reference input to the output and achieve the same control effects for the nominal system. Then, it is proven for the first time that the LADRC has a better anti-interference ability than the SOSFC and SFC. Besides, the asymptotic stability condition of LADRC-based closed-loop system considering large parameter perturbations is given first. Moreover, the sensitivity analysis of the closed-loop system is carried out. The results show that the LADRC has stronger robustness under parameter perturbations. According to the results, we conclude that the LADRC is of great disturbance rejection ability and strong robustness.

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Section: Introductionmentioning

confidence: 99%

Stability and performance comparison analysis for linear active disturbance rejection control–based system

Zhao

et al. 2022

Transactions of the Institute of Measurement and Control

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“…In [14], a fractional-order PID and active disturbance rejection controller (FOPID-ADRC) is applied to the speed regulation system of the nonlinear double-mass servo drive system, and it is proved that the compound controller has good robustness. In [15], the FOPID-ADRC is applied to the tracking control of an air-breathing hypersonic vehicle, and the simulation results prove that the designed controller has good adaptability and robustness in dealing with uncertainty and external disturbance. In this paper, a fractional-order PID active disturbance rejection control (FOPID-ADRC) strategy is used to control the temperature in the induction heating process, and an improved QPSO is adopted to rectify the parameters of the controller in order to improve the control accuracy as well as the antidisturbance capability of the temperature control system.…”

Section: Introductionmentioning

confidence: 99%

Fractional-Order PID and Active Disturbance Rejection Control with Tuning Parameter Optimization for Induction Heating

Guo

2021

Mathematical Problems in Engineering

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Induction heating systems are characterized by model uncertainty, nonlinearity, and external disturbances, and the control accuracy of the system directly affects the performance of the heated workpiece. In order to improve the temperature control accuracy and anti-interference performance of induction heating systems, this paper proposes a composite control strategy combining fractional-order PID (FOPID) and active disturbance rejection control (ADRC). Meanwhile, for the problem of too many controller tuning parameters, an improved quantum behavior particle swarm optimization (QPSO) algorithm is used to transform the nine parameters to be tuned in fractional-order PID active disturbance rejection control (FOPID-ADRC) into a minimization value optimization problem for solving. The simulation results show that the FOPID-ADRC controller improves the anti-interference capability and control accuracy of the temperature control system, and the improved QPSO algorithm has better global search capability and local optimal adaptation value.

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“…Their simulation results indicated the satisfactory performance of the controller in terms of rapidity, accuracy, and robustness. Song et al [18,19] investigated the parameter optimization strategy of the nonlinear FOADRC method for hypersonic vehicles. To achieve efficient tracking, a comprehensive flight path regulation scheme based on ADRC was proposed for hypersonic vehicles [20] .…”

Section: Introductionmentioning

confidence: 99%

“…However, the NSPSO algorithm applied to parameter setting is only for parameters and , whereas the other parameters are still set based on experience. A compound scheme that combines the advantages of differential evolution and biogeography-based optimization was applied to optimize the control parameters, except for parameters and [19] . The frequency-domain analysis method as a classical method of control system design has been well investigated compared with the nature-inspired algorithms and is widely used for engineering applications.…”

Section: Introductionmentioning

confidence: 99%

Fractional-order proportional-integral-derivative linear active disturbance rejection control design and parameter optimization for hypersonic vehicles with actuator faults

Gao

Wang

2021

Tinshhua Sci. Technol.

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The hypersonic vehicle model is characterized by strong coupling, nonlinearity, and acute changes of aerodynamic parameters, which are challenging for control system design. This study investigates a novel compound control scheme that combines the advantages of the Fractional-Order Proportional-Integral-Derivative (FOPID) controller and Linear Active Disturbance Rejection Control (LADRC) for reentry flight control of hypersonic vehicles with actuator faults. First, given that the controller has adjustable parameters, the frequency-domain analysis-method-based parameter tuning strategy is utilized for the FOPID controller and LADRC method (FOLADRC). Then, the influences of the actuator model on the anti-disturbance capability and parameter tuning of the FOLADRC-based closed-loop control system are analyzed. Finally, the simulation results indicate that the proposed FOLADRC approach has satisfactory performance in terms of rapidity, accuracy, and robustness under the normal operating condition and actuator fault condition.

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Nonlinear FOPID and Active Disturbance Rejection Hypersonic Vehicle Control Based on DEM Biogeography-Based Optimization

Cited by 13 publications

References 24 publications

Stability and performance comparison analysis for linear active disturbance rejection control–based system

Stability and performance comparison analysis for linear active disturbance rejection control–based system

Fractional-Order PID and Active Disturbance Rejection Control with Tuning Parameter Optimization for Induction Heating

Fractional-order proportional-integral-derivative linear active disturbance rejection control design and parameter optimization for hypersonic vehicles with actuator faults

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