Prescribed performance incremental adaptive optimal fault-tolerant control for nonlinear systems with actuator faults

Zhang, Shaojie; Huang, Chenyu; Ji, Kun; Zhang, Han

doi:10.1016/j.isatra.2021.03.011

Cited by 17 publications

(13 citation statements)

References 30 publications

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“…To enhance the reliability and availability of the attitude control for tailless aircraft suffering from actuator faults, a multiple time-scale reconfigurable sliding mode control has been proposed in [11], nevertheless, only a linear model was considered. In [12], an adaptive optimal fault-tolerant control (FTC) has been proposed, based on an incremental fault detection and diagnosis (FDD) scheme, which incur a complex structuration and large computational burden. In [13], a robust adaptive nonlinear FTC was proposed via norm estimation, but only the partial loss of effectiveness (PLOE) was considered.…”

Section: Introductionmentioning

confidence: 99%

Predefined-time anti-saturation fault-tolerant attitude control for tailless aircraft with guaranteed output constraints

et al. 2022

Nonlinear Dyn

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This work investigates the anti-saturation attitude tracking control for the tailless aircraft with guaranteed output constraints, in presence of uncertain inertia parameters, bounded external disturbance, and actuator faults/failures. A predefined-time adaptive backstepping attitude control scheme has been proposed, the main features of this scheme lie in (a) designing a predefined-time filter to deal with the 'explosion of complexity' and singularity problem; (b) introducing a nonlinear state-dependent function to handle the asymmetric time-varying output constraints; (c) compensating for the impact of the actuator faults/failures and input saturation by a nonlinear function and bounded estimation simultaneously. Moreover, the proposed control scheme can ensure all signals in the closed-loop system converge to a residual set around the origin within a predefined time, and this time constant can be set freely by the designer, independently of initial conditions. Article Finally, numerical simulations have been conducted to verify the performance of the proposed predefined-time fault-tolerant control scheme.

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Section: Introductionmentioning

confidence: 99%

Predefined-time anti-saturation fault-tolerant attitude control for tailless aircraft with guaranteed output constraints

et al. 2022

Nonlinear Dyn

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“…In order to improve the stable operation of the pulse gyrotron, Wang et al proposed a fast recovery auxiliary system with full redundancy, explosion-proof and long-term operation of the pulse gyrotron, which improved the stability of the system [29]. Zhang et al used actuator redundancy in the speci ed performance increment adaptive optimal error tolerance control of nonlinear systems with actuator failures, which improved the fault tolerance of the system [30].…”

Section: Introductionmentioning

confidence: 99%

Design of gas drainage system based on PLC redundancy control technology

Wang

2022

Preprint

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In order to improve the stability and reliability of the gas drainage monitoring system, reduce and eliminate the hidden danger of gas overrun safety accidents caused by the monitoring system failure. We designed a gas drainage monitoring system based on redundant control technology. First of all, we designed the overall architecture of the monitoring system. Siemens S7-1500R series programmable logic controller (PLC) was used as the core control unit, redundant design was carried out for CPU and DC24V power supply, and the PLC control cabinet was designed according to the on-site requirements. In the design, smart sensors and digital signal transmission are used to improve the anti-interference ability of the system. Secondly, we designed RS485 communication program and PID control program in portal software to realize data acquisition of smart sensors and constant pressure control of gas drainage system. Finally, we use WinCC configuration software to design the human-machine interface (HMI), which realizes the online monitoring and remote control of the gas drainage system. The application shows that the switching time from the primary CPU to the backup CPU automatically due to failure is about 300 ms. In addition, when any CPU, profinet cable or power supply fails, the system can still work normally, effectively improving the stability and reliability of the gas drainage monitoring system, and achieving the goal of monitoring the gas drainage system efficiently.

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“…In Hu et al (2021), an ADP algorithm is proposed to solve path planning problem of the unmanned ground vehicle. It also be well applied to flight control, such as regulation and tracking control (Xia et al, 2020; Zhang et al, 2020; Zheng et al, 2019; Zhou et al, 2017, 2018). The traditional dynamic programming (DP) is difficult to carry out due to the “curse of dimensionality.” However, as an important branch of reinforcement learning, ADP effectively handles this problem through approximate iteration online or offline (Powell, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Incremental control converts the original nonlinear system into linearized incremental system by utilizing input and output data, which is a model-free algorithm. At present, the relevant control forms of incremental method include incremental backstepping (IBKS) control (Ignatyev et al, 2020), incremental nonlinear dynamic inversion (INDI) (Lu et al, 2016), and incremental adaptive dynamic programming (IADP) (Zhang et al, 2020; Zhou et al, 2017, 2018). Incremental control is often used in the adaptive control to deal with system nonlinearity and uncertainty without identifying the global system (Zhang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…At present, the relevant control forms of incremental method include incremental backstepping (IBKS) control (Ignatyev et al, 2020), incremental nonlinear dynamic inversion (INDI) (Lu et al, 2016), and incremental adaptive dynamic programming (IADP) (Zhang et al, 2020; Zhou et al, 2017, 2018). Incremental control is often used in the adaptive control to deal with system nonlinearity and uncertainty without identifying the global system (Zhang et al, 2020). IADP is the combination of incremental control and LADP, which retains the advantages of LADP in designing an approximate cost function more systematically and simply in nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

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Incremental adaptive optimal control for nonlinear systems with disturbance and input time-delay

Zhang

2022

Transactions of the Institute of Measurement and Control

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In this paper, a model-free incremental adaptive optimal control scheme is proposed for nonlinear systems in presence of disturbance and input time-delay. The linear time-varying approximate model of the nonlinear system is obtained by incremental method, in which the relevant matrix parameters are identified by recursive least squares (RLS) estimation. A time-delay matrix function is constructed by neural network (NN) to eliminate the input time-delay, and the external disturbance of nonlinear system is dealt with by [Formula: see text] optimal control; incremental adaptive dynamic programming (IADP) algorithm is used to get the control law by solving Hamilton–Jacobi–Isaacs (HJI) equation. Convergence analysis of the proposed control scheme is provided. Simulations are given to verify the effectiveness of the proposed control scheme.

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Prescribed performance incremental adaptive optimal fault-tolerant control for nonlinear systems with actuator faults

Cited by 17 publications

References 30 publications

Predefined-time anti-saturation fault-tolerant attitude control for tailless aircraft with guaranteed output constraints

Predefined-time anti-saturation fault-tolerant attitude control for tailless aircraft with guaranteed output constraints

Design of gas drainage system based on PLC redundancy control technology

Incremental adaptive optimal control for nonlinear systems with disturbance and input time-delay

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