2018
DOI: 10.1155/2018/6217657
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Velocity Control Based on Active Disturbance Rejection for Air‐Breathing Supersonic Vehicles

Abstract: This paper investigates a velocity tracking control approach for air-breathing supersonic vehicles with uncertainties and external disturbances. Considering angle of attack is difficult to be precisely measured in practice, extended state observer technique is introduced into the state reconstruction design. In order to avoid possible oscillations in the design of the traditional extended state observer (TESO), a modified extended state observer (MESO) is developed, where a new smooth function is proposed to r… Show more

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Cited by 12 publications
(4 citation statements)
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References 23 publications
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“…Generate the random values q 1 , q 2 , and q 3 , where q 1 � 1, q 2 � rand(0.75, 1), and q 3 � rand(0.5, q2) again; (14) Compute the learning rates α L1 , α L2 , and α L3 , according to…”
Section: Definitionmentioning
confidence: 99%
See 1 more Smart Citation
“…Generate the random values q 1 , q 2 , and q 3 , where q 1 � 1, q 2 � rand(0.75, 1), and q 3 � rand(0.5, q2) again; (14) Compute the learning rates α L1 , α L2 , and α L3 , according to…”
Section: Definitionmentioning
confidence: 99%
“…ere have been a number of achievements of employing ADRC in the HV control area. Yao and Wang applied ADRC to flight vehicle attitude control [10], Chen studied a robust ADRC control of re-entry vehicle [11], Zhang designed an optimization approach for HVs' trajectory linearization ADRC [12], Huo proposed a drag profile tracking law based on ADRC control for re-entry vehicle [13], and Chao studied the velocity control based on active disturbance rejection for air-breathing supersonic vehicles [14].…”
Section: Introductionmentioning
confidence: 99%
“…It is composed of two parts: a traditional feedback control loop to meet the requirements on stability and tracking performance for the system and an inner disturbance rejection loop to compensate for the disturbances straightforwardly. The DOBC methods have found applications in a wide range, such as robotic manipulator systems [16], disk drive systems [17], air-breathing supersonic vehicle systems [18], and fluidized bed combustor systems [19]. However, most of the DOBC methods are only able to deal with the disturbances satisfying the matching condition which implies that the disturbances enter the system via the same channels as the control inputs [20].…”
Section: Introductionmentioning
confidence: 99%
“…This method aims to enhance performance by mitigating the aforementioned issues associated with the traditional sliding mode reaching law. Ming et al [7] propose a velocity tracking control approach under uncertain conditions, utilizing an extended state observer. In summary, the current research on guidance laws includes angle constraints or time and angle constraints to strike stationary or moving targets.…”
mentioning
confidence: 99%