2015
DOI: 10.1109/tcst.2015.2404897
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Nonlinear Disturbance Observer-Based Dynamic Surface Control of Mobile Wheeled Inverted Pendulum

Abstract: In this brief, a dynamic model of a mobile wheeled inverted pendulum (MWIP) system is improved considering friction forces, and a nonlinear disturbance observer (NDO)-based dynamic surface controller is investigated to control the MWIP system. Using a coordinate transformation, this non-Class-I type underactuated system is presented as a semistrict feedback form, which is convenient for dynamic surface controller design. A dynamic surface controller together with an NDO is designed to stabilize the underactuat… Show more

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Cited by 150 publications
(85 citation statements)
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“…3 After more than 10 years of development, the DSC design framework has enjoyed widespread applications in various types of dynamical systems, ranging from linear systems, [4][5][6] to strict-/semi-strict feedback uncertain systems, 7-13 to pure-feedback or nonaffine systems, [14][15][16][17][18] to constrained systems, [19][20][21][22] and to many more complex systems such as fault-tolerant systems, 23,24 stochastic systems, 25,26 and large-scale interconnected systems. Besides theoretical contributions, relevant applications of DSC can also be found in different areas of science and technology, such as the control for integrated missile guidance and autopilot, 34,35 mobile-wheeled inverted pendulum, 36 servo mechanisms, 37,38 and formations of autonomous surface vehicles. Aiming to improve the transient performance, Peng et al 13 developed a predictor-based NN-DSC design method for uncertain strict-feedback systems.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…3 After more than 10 years of development, the DSC design framework has enjoyed widespread applications in various types of dynamical systems, ranging from linear systems, [4][5][6] to strict-/semi-strict feedback uncertain systems, 7-13 to pure-feedback or nonaffine systems, [14][15][16][17][18] to constrained systems, [19][20][21][22] and to many more complex systems such as fault-tolerant systems, 23,24 stochastic systems, 25,26 and large-scale interconnected systems. Besides theoretical contributions, relevant applications of DSC can also be found in different areas of science and technology, such as the control for integrated missile guidance and autopilot, 34,35 mobile-wheeled inverted pendulum, 36 servo mechanisms, 37,38 and formations of autonomous surface vehicles. Aiming to improve the transient performance, Peng et al 13 developed a predictor-based NN-DSC design method for uncertain strict-feedback systems.…”
Section: Introductionmentioning
confidence: 99%
“…Aiming to improve the transient performance, Peng et al 13 developed a predictor-based NN-DSC design method for uncertain strict-feedback systems. Besides theoretical contributions, relevant applications of DSC can also be found in different areas of science and technology, such as the control for integrated missile guidance and autopilot, 34,35 mobile-wheeled inverted pendulum, 36 servo mechanisms, 37,38 and formations of autonomous surface vehicles. 39,40 It is worth noting that although DSC technique is being increasingly used in control society, the obtained results are still conservative.…”
Section: Introductionmentioning
confidence: 99%
“…[41][42][43][44][45][46][47][48][49][50][51] Meanwhile, DSC methodologies have been successfully applied to many practical systems. [52][53][54][55][56][57][58][59] It is worth mentioning that, as revealed in the work of Pan and Yu, 60 because of the use of linear low-pass filters, boundary layer errors are introduced into DSC systems resulting in large tracking-error bounds and degraded tracking accuracy. More recently, instead of using the linear filters, several DSC methods have been addressed to improve the control performance.…”
Section: Introductionmentioning
confidence: 99%
“…For high-order nonlinear system model in literatures, [9][10][11][12] back-stepping technique is a useful tool, which is always combined with SMC and disturbance observer. In Huang et al, 9 the nonlinear disturbance observer is implemented to estimate the nonlinearities, uncertainties, and disturbances in the system dynamics, thus the decrease in undesired chattering in control is achieved and the robustness of closed-loop system is enhanced. In Guo et al, 10 the extended state observers (ESOs) are used to estimate indirectly measured states and various parametric uncertainties.…”
Section: Introductionmentioning
confidence: 99%