2019
DOI: 10.1016/j.mechatronics.2019.06.006
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Saturation based nonlinear PID control for underwater vehicles: Design, stability analysis and experiments

Abstract: During sea missions, underwater vehicles are often exposed to changes in the parameters of their control systems and subject to external disturbances due to the influences of ocean currents. These issues make the design of a robust controller quite a challenging task. This paper focuses on the design of a nonlinear PID controller, based on a set of saturation functions for trajectory tracking on an underwater vehicle. The main feature of the proposed control law is that it preserves the advantages of robust co… Show more

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Cited by 69 publications
(44 citation statements)
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“…Remark 6. It is worth to notice that in this manuscript is different from the work presented in [19]. On one hand, in study [19], a nonlinear PID was proposed while in this work, we propose the improvement of the nonlinear PD proposed by [18].…”
mentioning
confidence: 83%
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“…Remark 6. It is worth to notice that in this manuscript is different from the work presented in [19]. On one hand, in study [19], a nonlinear PID was proposed while in this work, we propose the improvement of the nonlinear PD proposed by [18].…”
mentioning
confidence: 83%
“…However, it is well-known that the performance of the PD/PID controller is degraded when the plant is highly nonlinear or time-varying. To overcome these drawbacks, the PD/PID controllers are improved adopting strategies based on auto-adjustable [15], saturated [16], adaptive [17], or nonlinear functions [18,19]. For instance, a nonlinear PID for the trajectory tracking of an AUV is proposed in Guerrero et al [19].…”
Section: Several Strategies Have Been Proposed To Control Underwater mentioning
confidence: 99%
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“…As a consequence, the design of a tracking control scheme for the such vehicles becomes a critical issue [9]. Indeed, several control schemes have been proposed in the literature to address this problem, such as improved control schemes based on PD and PID control [10] [11] [12], robust control [13], adaptive control [14], intelligent and hybrid control [15].…”
Section: Introductionmentioning
confidence: 99%