Transient dynamics of metal V-belt CVT: Effects of band pack slip and friction characteristic

Srivastava, Nilabh; Haque, Imtiaz

doi:10.1016/j.mechmachtheory.2007.04.005

Cited by 45 publications

(46 citation statements)

References 16 publications

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“…Substituting (13) (14) in which 1 k is a positive constant. The system state can track a desired trajectory when 0 ) (  t e as   t in (14).…”

Section: Blend Modified Recurrent Gegenbauer Opnn Control Systemmentioning

confidence: 99%

A Six-Phase CRIM Driving CVT using Blend Modified Recurrent Gegenbauer OPNN Control

Lin¹

2016

Journal of Power Electronics

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Because the nonlinear and time-varying characteristics of continuously variable transmission (CVT) systems driven by means of a six-phase copper rotor induction motor (CRIM) are unconscious, the control performance obtained for classical linear controllers is disappointing, when compared to more complex, nonlinear control methods. A blend modified recurrent Gegenbauer orthogonal polynomial neural network (OPNN) control system which has the online learning capability to come back to a nonlinear time-varying system, was complied to overcome difficulty in the design of a linear controller for six-phase CRIM driving CVT systems with lumped nonlinear load disturbances. The blend modified recurrent Gegenbauer OPNN control system can carry out examiner control, modified recurrent Gegenbauer OPNN control, and reimbursed control. Additionally, the adaptation law of the online parameters in the modified recurrent Gegenbauer OPNN is established on the Lyapunov stability theorem. The use of an amended artificial bee colony (ABC) optimization technique brought about two optimal learning rates for the parameters, which helped reform convergence. Finally, a comparison of the experimental results of the present study with those of previous studies demonstrates the high control performance of the proposed control scheme.

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“…Substituting (13) (14) in which 1 k is a positive constant. The system state can track a desired trajectory when 0 ) (  t e as   t in (14).…”

Section: Blend Modified Recurrent Gegenbauer Opnn Control Systemmentioning

confidence: 99%

A Six-Phase CRIM Driving CVT using Blend Modified Recurrent Gegenbauer OPNN Control

Lin¹

2016

Journal of Power Electronics

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“…Friction transmission is widely used in civil and industrial fields, mine hoist, elevator and belt drive machine are some common typical forms of friction transmission [1][2][3] , the rope-clibing robot to be studied in this paper is another application of friction transmission. The ropeclimbing robot transports loads along the rope relied on the friction between its wheel and rope, and load capacity is a very important measure of the performance of the robot.…”

Section: Introductionmentioning

confidence: 99%

“…For this kind rope-climbing robot, its load capacity equals to the maximum friction between rope and wheel, Euler formula is widely used to calculate the friction between wheel and rope or blet or other forms, but there is some deviation between the actual force and calculated values, especially for the rope-climbing robot. Most studies had applied Euler formula to different areas [1][2][3][4][5] , some studies had modified Euler formulation for their special materials and structures [6,7] , but it's assumed that the friction coefficient between rope and wheel keeps constant in these studies, the assumption is too simplified to correspond to reality. The rope-climbing robot as the research object, the load capacity of the robot and the distribution rules of friction coefficient between rope and wheel will be studied in this paper.…”

Section: Introductionmentioning

confidence: 99%

Load capacity of a new rope-climbing robot

Yin

Zhao

et al. 2017

MATEC Web Conf.

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Abstract. Theoretical analysis and experimental research are carried out on the load capacity of one new kind rope-climbing robot, this robot could lift load along the rope depends on the friction between rope and wheel of the robot. The classic Euler formula is based on the assumption of constant friction coefficient, and this paper establishes a new load capacity model based on nonconstant friction coefficient model, presents a method to measure the distribution of friction coefficient, and builds the experimental platform to conduct experimental research on the friction coefficient and load capacity. Experimental results show that the friction coefficient decreases with the increase of wrap angle; the new model fits the results better than Euler formula.

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“…A CVT system (Carbone et al, 2007;Guzzella and Schmid, 1995;Kim and Vachtsevanos, 2000;Lin, 2015a;Srivastava and Haque, 2008, 2009, Tseng et al, 2008, 2009 may be manipulated at a specific speed while changing the pulleys' radii to achieve torque multiplication, acceleration and speed. This working profile provides the research motivation for the CVT dynamics and non-linear control algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, because the CVT system (Carbone et al, 2007;Lin, 2014aLin, , 2014bLin, , 2014cLin, , 2015aLin, , 2015bGuzzella and Schmid, 1995;Kim and Vachtsevanos, 2000;Srivastava and Haque, 2008, 2009, Tseng et al, 2008, 2009 exists in nonlinear dynamics and uncertainties, the blend modified recurrent Gegenbauer orthogonal polynomial NN control system using an amended ABCO is proposed for controlling the sixphase copper rotor IM servo-driven CVT system. The blend modified recurrent Gegenbauer orthogonal polynomial NN control system using an amended ABCO has good generalization ability and fast learning capability.…”

Section: Introductionmentioning

confidence: 99%

Blend modified recurrent Gegenbauer orthogonal polynomial neural network control for six-phase copper rotor induction motor servo-driven continuously variable transmission system using amended artificial bee colony optimization

Lin

2016

Transactions of the Institute of Measurement and Control

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Because the non-linear and time-varying characteristics of the continuously variable transmission (CVT) system driven by using a six-phase copper rotor induction motor (IM) are unknown, improving the control performance of the linear control design is time consuming. To overcome difficulties in the design of a linear controller for the six-phase copper rotor IM servo-driven CVT system with lumped non-linear load disturbances, a blend modified recurrent Gegenbauer orthogonal polynomial neural network (NN) control system, which has the online learning capability to return to the nonlinear time-varying system, was developed. The blend modified recurrent Gegenbauer orthogonal polynomial NN control system can perform overseer control, modified recurrent Gegenbauer orthogonal polynomial NN control and recompensed control. Moreover, the adaptation law of online parameters in the modified recurrent Gegenbauer orthogonal polynomial NN is based on the Lyapunov stability theorem. The use of amended artificial bee colony optimization (ABCO) yielded two optimal learning rates for the parameters, which helped improve convergence. Finally, comparison of the experimental results of the present study with those of previous studies demonstrated the high control performance of the proposed control scheme.

show abstract

Transient dynamics of metal V-belt CVT: Effects of band pack slip and friction characteristic

Cited by 45 publications

References 16 publications

A Six-Phase CRIM Driving CVT using Blend Modified Recurrent Gegenbauer OPNN Control

A Six-Phase CRIM Driving CVT using Blend Modified Recurrent Gegenbauer OPNN Control

Load capacity of a new rope-climbing robot

Blend modified recurrent Gegenbauer orthogonal polynomial neural network control for six-phase copper rotor induction motor servo-driven continuously variable transmission system using amended artificial bee colony optimization

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