2023
DOI: 10.1016/j.arcontrol.2023.100900
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PID control of quadrotor UAVs: A survey

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Cited by 60 publications
(11 citation statements)
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“…This method is the most widely adopted controller across a spectrum of application domains, primarily due to its inherent simplicity of structure and ease of implementation [9,10]. With respect to PID control for a quadrotor system, as reported in [11][12][13], a control strategy has been developed for a quadrotor system based on a PD algorithm, to achieve stability and precise control over the position of quadrotors, even in the presence of disturbances. Furthermore, in [14], the PD controller method was integrated to ensure the stability of the Newton-Euler angles and the altitude of the quadcopter system.…”
Section: Modeling and Control Of Uavsmentioning
confidence: 99%
“…This method is the most widely adopted controller across a spectrum of application domains, primarily due to its inherent simplicity of structure and ease of implementation [9,10]. With respect to PID control for a quadrotor system, as reported in [11][12][13], a control strategy has been developed for a quadrotor system based on a PD algorithm, to achieve stability and precise control over the position of quadrotors, even in the presence of disturbances. Furthermore, in [14], the PD controller method was integrated to ensure the stability of the Newton-Euler angles and the altitude of the quadcopter system.…”
Section: Modeling and Control Of Uavsmentioning
confidence: 99%
“…Nonlinear control systems have dead zone effects, friction characteristics, and relay characteristics. The traditional PID control strategy makes it difficult to achieve the expected control effect [19][20][21][22]. The sliding mode control algorithm has a fast response speed and strong robustness and does not require online system identification, which has good control effects on nonlinear systems.…”
Section: Introductionmentioning
confidence: 99%
“…More precisely, an adequate design of a system with conventional integer-order PID is possible by optimizing the parameters of the controller. In determining these parameters, apart from the Ziegler-Nichols method, which was developed to find PID coefficients experimentally, heuristic methods and artificial intelligence techniques are also widely used [5]. However, these methods are incapable of inspecting real-world objects or performing fractional operations optimally.…”
Section: Introductionmentioning
confidence: 99%