A New Method for Control Allocation of Aircraft Flight Control System

Yang, Yuanchao; Gao, Zichen

doi:10.1109/tac.2019.2918122

“…The FCS is a safety-critical system of the aircraft utilized to control the roll, yawing, and pitch flying of the aircraft. 31 The flight control computer (FCC) is the core component of FCS, and processes the atmosphere and attitude signals and performs digital control for stabilization and parameter adjustment. For safety reasons, the aircraft provides a degraded control mode in addition to the normal control mode.…”

Section: Case Studymentioning

confidence: 99%

A reliability modeling method for the system subject to common cause failures and competing failures

Zeng

¹

,

Sun

²

2022

Quality & Reliability Eng

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Competing failures are time domain contention situations between the propagated failures (PFs) that originate from dependent components and the failure isolation caused by the trigger component. The methods based on combinatorial analysis commonly used in the analysis of competing failures require a complicated formula derivation and model reduction process. This paper proposes an integrated model based on generalized stochastic Petri nets (GSPNs) for analyzing the competing failures in the system, and further considers the effect of common cause failures (CCFs). The proposed modeling method inherits the advantages of GSPNs and provides a simplified method to compute the reliability of systems, which affect by competing failures and CCFs. Finally, the proposed method is applied in the flight control system (FCS) and demonstrated by the efficient decomposition and aggregation (EDA) method and combinatorial analysis method.

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“…Pseudo-inverse-based methods [2], [16], which have the lowest computational complexity among the others, are implemented by manipulating the null space of the control input matrix. Optimization-based methods [17]- [21] are performed by minimizing a cost function that penalizes the difference between the desired and achieved total control inputs. Dynamic control allocation methods [1], [22], [23], on the other hand, are based on solving differential equations that model the control allocation goals.…”

Section: Introductionmentioning

confidence: 99%

Discrete Adaptive Control Allocation

Tohidi

¹

,

Yıldız

²

2021

2021 American Control Conference (ACC)

3

0

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The main purpose of a control allocator is to distribute a total control effort among redundant actuators. This paper proposes a discrete adaptive control allocator for over-actuated sampled-data systems in the presence of actuator uncertainty. The proposed method does not require uncertainty estimation or persistency of excitation. Furthermore, the presented algorithm employs a closed loop reference model, which provides fast convergence without introducing excessive oscillations. To generate the total control signal, an LQR controller with reference tracking is used to guarantee the outer loop asymptotic stability. The discretized version of the Aerodata Model in Research Environment (ADMIRE) is used as an over-actuated system, to demonstrate the efficacy of the proposed method.

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“…Pseudo-inverse-based methods [2,16], which have the lowest computational complexity among the others, are implemented by manipulating the null space of the control input matrix. Optimization-based methods [17][18][19][20][21] are performed by minimizing a cost function that penalizes the difference between the desired and achieved total control inputs. Dynamic control allocation methods [1,22,23], on the other hand, are based on solving differential equations that model the control allocation goals.…”

Section: Introductionmentioning

confidence: 99%

Discrete Adaptive Control Allocation

Tohidi¹,

Yıldız²

2021

Preprint

0

View full text Add to dashboard Cite

The main purpose of a control allocator is to distribute a total control effort among redundant actuators. This paper proposes a discrete adaptive control allocator for over-actuated sampled-data systems in the presence of actuator uncertainty. The proposed method does not require uncertainty estimation or persistency of excitation. Furthermore, the presented algorithm employs a closed loop reference model, which provides fast convergence without introducing excessive oscillations. To generate the total control signal, an LQR controller with reference tracking is used to guarantee the outer loop asymptotic stability. The discretized version of the Aerodata Model in Research Environment (ADMIRE) is used as an over-actuated system, to demonstrate the efficacy of the proposed method.

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A New Method for Control Allocation of Aircraft Flight Control System

Cited by 23 publications

References 24 publications

A reliability modeling method for the system subject to common cause failures and competing failures

A reliability modeling method for the system subject to common cause failures and competing failures

Discrete Adaptive Control Allocation

Discrete Adaptive Control Allocation

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