2014 UKACC International Conference on Control (CONTROL) 2014
DOI: 10.1109/control.2014.6915116
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Skid steering mobile robot modeling and control

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Cited by 16 publications
(10 citation statements)
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“…LQR is an optimal controller as it provides the smallest possible error in its output when compared to the input. The later controller design was optimally in paper [1]. By taking all the parameters needed for feedback model, drive model and dynamic model as derived in paper [1][2] further analysis were imbued in the Mbed LPC1768 microcontroller.…”
Section: Lqr Controllermentioning
confidence: 99%
See 2 more Smart Citations
“…LQR is an optimal controller as it provides the smallest possible error in its output when compared to the input. The later controller design was optimally in paper [1]. By taking all the parameters needed for feedback model, drive model and dynamic model as derived in paper [1][2] further analysis were imbued in the Mbed LPC1768 microcontroller.…”
Section: Lqr Controllermentioning
confidence: 99%
“…The later controller design was optimally in paper [1]. By taking all the parameters needed for feedback model, drive model and dynamic model as derived in paper [1][2] further analysis were imbued in the Mbed LPC1768 microcontroller. The block diagram of LQR controller as shown in Figure 10.…”
Section: Lqr Controllermentioning
confidence: 99%
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“…Skid steering can be characterized by an absence of a separate steering system, like, for example, in the Ackermann steering system. Advantages provided by the skid-steered scheme are a simple mechanical structure, robustness and high maneuverability [6].…”
Section: Introductionmentioning
confidence: 99%
“…Many researches, however, utilize the classic dynamics model, including contact forces obtained with analytical functions derived from experimental data. Equations of motion for skid-steering based mobile robots are well-known and can be found to name a few in Reference [6,[11][12][13]. Ahmadi et al [14] slightly simplified the model by excluding the nonholonomic constraint from the dynamics equations, while Tang et al [15] considered more complex and generalized track-terrain interactions model.…”
Section: Introductionmentioning
confidence: 99%