A design sensitivity analysis of bicycle stability and experimental validation

Zhang, Shengpeng; Tak, Tae-Oh

doi:10.1007/s12206-020-0803-2

Cited by 1 publication

(2 citation statements)

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“…Hawk encircles prey gently to make it more tired and achieve the surprise dive. This conduct is modeled by subsequent rules represented in (4) and (5).…”

Section: Soft Besiegementioning

confidence: 99%

“…In addition, the centrifugal force contributes to balance because of the circular motion. Moreover, uncontrolled bicycles can balance themselves within certain velocity ranges, which depend on different bicycle-design parameters [5]. For example, gyroscope, perturbation stationary bycycrobot system, inverted pendulum nonlinear controllers, robust two-stage active disturbance rejection control, fuzzy sliding-mode underactuated control, proportional derivative (PD) controllers, and proportional integral derivative (PID) controllers have been presented in distinctive researches [6]- [11].…”

Section: Introductionmentioning

confidence: 99%

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An effective approach to enhance the balancing control in bycycorobot using the soft computing techniques

Sharma

Sambariya²

2022

IJRA

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<p>The balancing and control of bycycorobot is a challenging task. The pre - specified controller available in the literature for balancing has been reduced with novel optimization to improve the effectiveness of balancing, uncertainty, and the complexity of the complete system. The novel Harris hawk optimization (HHO) which is based on the hunting behavior of the h awk has been utilized to improve the balancing of the bycycorobot. The paper proposes the decreased order controller of a pre - specified controller for a bycycorobot. The obtained controller response with bycycorobot in the complete closed loop is analyzed, and the best performance is compared with the reduced order controller available in the literature. The comparison is based on the response indices and response characteristics.</p>

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“…Hawk encircles prey gently to make it more tired and achieve the surprise dive. This conduct is modeled by subsequent rules represented in (4) and (5).…”

Section: Soft Besiegementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%