2023
DOI: 10.3390/s23041954
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Observer-Based Optimal Control of a Quadplane with Active Wind Disturbance and Actuator Fault Rejection

Abstract: Hybrid aircraft configurations with combined cruise and vertical flight capabilities are increasingly being considered for unmanned aircraft and urban air mobility missions. To ensure the safety and autonomy of such missions, control challenges including fault tolerance and windy conditions must be addressed. This paper presents an observer-based optimal control approach for the active combined fault and wind disturbance rejection, with application to a quadplane unmanned aerial vehicle. The quadplane model is… Show more

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Cited by 3 publications
(1 citation statement)
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“…However, the performance of PID control is highly relied on an accurate system model, which makes it easily affected by external disturbances or motor parameters perturbation. Several control algorithms are developed in recent years to improve the control performance of PMSM, such as adaptive control [1,2], optimal control [3], backstepping control [4], fuzzy control [5,6], sliding mode control (SMC) [7,8] and model predictive control [9] Sliding mode control is widely used in PMSM, which does not involve precise mathematical models and is highly insensitive to external noise disturbances and motor parameters perturbations. However, the reaching laws used in traditional sliding mode control are equal reaching law, exponential reaching law, and power reaching law, which causes reaching rate of the controller too slow to converge in finite time, sometime generates jitter.…”
Section: Introductionmentioning
confidence: 99%
“…However, the performance of PID control is highly relied on an accurate system model, which makes it easily affected by external disturbances or motor parameters perturbation. Several control algorithms are developed in recent years to improve the control performance of PMSM, such as adaptive control [1,2], optimal control [3], backstepping control [4], fuzzy control [5,6], sliding mode control (SMC) [7,8] and model predictive control [9] Sliding mode control is widely used in PMSM, which does not involve precise mathematical models and is highly insensitive to external noise disturbances and motor parameters perturbations. However, the reaching laws used in traditional sliding mode control are equal reaching law, exponential reaching law, and power reaching law, which causes reaching rate of the controller too slow to converge in finite time, sometime generates jitter.…”
Section: Introductionmentioning
confidence: 99%