Shift dynamics modelling for optimisation of variator slip control in a pushbelt CVT

Simons, S.W.H.; Klaassen, T.W.G.L.; Veenhuizen, P.A.; Carbone, Giuseppe

doi:10.1504/ijvd.2008.021151

Cited by 19 publications

(7 citation statements)

References 7 publications

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“…A Linear Quadratic Gaussian (LQG) controller is designed for the CVT slip control, as well as a Proportional Integral (PI) controller for CVT ratio control [8]. …”

Section: B Slip Controlmentioning

confidence: 99%

An Overview on Control Concepts of Push-Belt CVT

Bdran¹,

Saifullah²,

Ma³

2012

IJET

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“…A Linear Quadratic Gaussian (LQG) controller is designed for the CVT slip control, as well as a Proportional Integral (PI) controller for CVT ratio control [8]. …”

Section: B Slip Controlmentioning

confidence: 99%

An Overview on Control Concepts of Push-Belt CVT

Bdran¹,

Saifullah²,

Ma³

2012

IJET

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“…[19][20][21][22][23][24][25] The results from these investigations have been of great importance for developing innovative controls which are able to improve the overall mechanical efficiency. 19,20,24,[26][27][28][29] To this end, the precise estimation of the thrust force ratio needed to achieve the desired transmission ratio, or the desired shift speed, plays a critical role. Therefore, several theoretical and numerical models have been proposed, [30][31][32][33][34][35][36][37][38][39][40][41] which may help to clarify the dynamic behaviour of this type of transmission.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, several theoretical and numerical models have been proposed, [30][31][32][33][34][35][36][37][38][39][40][41] which may help to clarify the dynamic behaviour of this type of transmission. However, models need experimental validation and, although some experiments show that some of the available models 19,20,28,42 are sufficiently accurate in predicting the traction curves, the clamping force ratio, the shift behaviour and even the load acting on a single belt or chain element in running conditions, [43][44][45][46][47] complete experimental validation is still lacking. In particular, the measured shift behaviour in the presence of a torque load needs to be compared with that from theoretical predictions.…”

Section: Introductionmentioning

confidence: 99%

Experimental validation of the Carbone–Mangialardi–Mantriota model of continuously variable transmissions

Yıldız

Bottiglione

Piccininni

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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We present detailed experiments to validate the Carbone–Mangialardi–Mantriota model of continuously variable transmissions. Experimental tests were carried out in different working conditions for increasing values of the torque load. Steady-state conditions as well as shift manoeuvres were considered. A detailed comparison with the theoretical predictions of the Carbone–Mangialardi–Mantriota model shows good agreement with the experimental results. This is even more remarkable when it is considered that the Carbone–Mangialardi–Mantriota model is fully self-consistent and completely predictive. It does not need any parameter to be specifically tuned or measured. The results from the present research allows the Carbone–Mangialardi–Mantriota model to be definitely proposed as a very accurate and completely predictive model of the continuously variable transmission variator, and as a very promising tool to develop advanced real-time control of continuously variable transmissions for engineering applications.

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“…The contact pressure between the V-belt and the pulleys is also higher than the minimum pressure required, which further increases the wear. Decreasing the clamping force is then a solution to improve the transmission efficiency, but as mentioned, too low clamping force will lead to large slip value, and the system will become unstable [1][2][3]. Besides, it is noted that if the clamping force is increased to avoid the slip, the speed ratio must be changed slightly.…”

Section: Introductionmentioning

confidence: 99%

“…In order to maintain a steady-state speed ratio, an optimal pulley thrust is required. Hence, improving the performance of SBVCVT has recently attracted many researchers' attentions [1][2][3][4]. In a previous work of the authors [4], a novel parallel CVT system, namely, dual-belt Van Doorne's CVT (DBVCVT), was proposed to overcome some of the deficiencies of SBVCVT.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Multiobjective Slip and Speed Ratio Control of a Novel Dual-Belt Continuously Variable Transmission for Automobiles

Xie

Wong

Chen

et al. 2014

Mathematical Problems in Engineering

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Van Doorne’s continuously variable transmission (CVT) is the most popular CVT design for automotive transmission, but it is only applicable to low-power passenger cars because of its low torque capacity. To overcome this limitation of traditional single-belt CVT, a novel dual-belt Van Doorne’s CVT (DBVCVT) system, which is applicable to heavy-duty vehicles, has been previously proposed by the authors. This paper, based on the published analytical model and test rig of DBVCVT, further proposes an intelligent multiobjective fuzzy controller for slip and speed ratio control of DBVCVT. The controller aims to safely control the clamping forces of both the primary and the secondary pulleys in order to improve the transmission efficiency, achieve the accurate speed ratio, and avoid the belt slip under different engine loads and vehicle speeds. The slip, speed ratio, and transmission efficiency dynamics of DBVCVT are firstly analyzed and modeled in this paper. With the aid of a flexible objective function, the analytical model, and fuzzy logic, a Pareto rule base for fuzzy controller is developed for multiobjective DBVCVT control. Experimental results show that the proposed controller for slip and speed ratio regulation of DBVCVT is effective and performs well under different user-defined weights.

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Shift dynamics modelling for optimisation of variator slip control in a pushbelt CVT

Cited by 19 publications

References 7 publications

An Overview on Control Concepts of Push-Belt CVT

An Overview on Control Concepts of Push-Belt CVT

Experimental validation of the Carbone–Mangialardi–Mantriota model of continuously variable transmissions

Intelligent Multiobjective Slip and Speed Ratio Control of a Novel Dual-Belt Continuously Variable Transmission for Automobiles

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