Smooth shift control of automatic transmissions using a robust adaptive scheme with intelligent supervision

Kim, Deok Ho; Yang, Kyung Jinn; Hong, Keum–Shik; Hahn, Jin‐Oh; Lee, Kyo Il

doi:10.1504/ijvd.2003.003645

Cited by 29 publications

(14 citation statements)

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“…Many researches have been done on the clutch-to-clutch shifts. For the power-on upshift, the slide mode control is adopted by Runde 1 in both torque phase and inertia phase; an open-loop control based on randomized algorithms is proposed by Yoon and Khargonekar; 2 the optimal control based on the cost functions is used by Haj-Fraj and Pfeiffer; 3 Bai et al 4 proposes a hydraulic washout technique to control the synchronization of the oncoming and the offgoing clutches; a robust adaptive scheme with intelligent supervision is used to reduce the shock and prevent an excessive slip by Kim et al; 5 the close-loop control and output torque control are adopted by Goetz et al; 6 the dynamic characteristics of the shift events of DCT are studied by Kulkarni et al; 7 Dong et al 8 investigates the pressure control of clutch for start stop function; and the vibration response during shift is analyzed by Walker and colleagues. 9,10 For the power-on downshift, the shift processes including engine torque control, clutch slip control, and transmission output torque control are designed by Goetz et al; 11 shift control strategy and experimental validation in DCT are studied by Liu et al; 12,13 and the constant output torque control technology based on a power-based integrated powertrain control system is developed by Bai et al 14 In previous researches, they mainly focus on the study of control methods for the torque phase and the inertia phase during the clutch-to-clutch shift process, and the control strategies for the power-on upshift and power-on downshift are often analyzed separately.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Generic control flow for the four types of clutch-to-clutch shifts

Cheng

Wang

et al. 2016

Advances in Mechanical Engineering

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At the request of the Publisher, the following articles have been retracted. The Advances in Mechanical Engineering Editorial Office became aware that the peer review process organised by the Guest Editors of the Special Collections Advanced Control and Analysis of Mechatronics Systems with Modelling Uncertainty and Advanced Control of Robotics and Mechatronics Systems with Nonlinearity and Modelling Uncertainty 2016 did not meet the journal's usual rigorous standards of peer review. Due to this, all articles in these Special Collections were re-reviewed by a new set of independent referees.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: Generic control flow for the four types of clutch-to-clutch shifts

Cheng

Wang

et al. 2016

Advances in Mechanical Engineering

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“…It is also common as in [29] and [38] to consider the hydraulic actuation pressures as control inputs and focus on the dynamics of the powertrain and transmission components during the gear shift. In Paper 7, the second approach is used and OC analysis of the gear shift for a nine speed AT system is enabled by developing physics based model of the transmission and driveline rotational dynamics during a gear shift.…”

Section: Gear Shift Control In Heavy Duty Powertrainmentioning

confidence: 99%

Modeling and Optimal Control of Heavy-Duty Powertrains

Nezhadali

2016

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The cover: The background photo on the cover shows the Roxen lake with Linköping on it's horizon. At the begining of my very first presentation in Linz 2013, I introduced the city of my studies with this picture. I wanted to finish with the same picture which will remind me of my 7 years in Linköping whenever I look at this dissertation. The graphic figure on top of the background, shows the feasible regions of operation for two subsystems, and two sets of state trajectories. More about this is described at the end of chapter 2. Typeset with L A T E X 2εPrinted by LiU-Tryck, Linköping, Sweden 2016 To Samira and my parents i AbstractHeavy duty powertrains are complex systems with components from various domains, different response times during transient operations and different efficient operating ranges. To ensure efficient transient operation of a powertrain, e.g. with low fuel consumption or short transient duration, it is important to come up with proper control strategies. In this dissertation, optimal control theory is used to calculate and analyze efficient heavy duty powertrain controls during transient operations in different applications. This is enabled by first developing control ready models, usable for multi-phase optimal control problem formulations, and then using numerical optimal control methods to calculate the optimal transients.Optimal control analysis of a wheel loader operating in a repetitive loading cycle is the first studied application. Increasing fuel efficiency or reducing the operation time in such repetitive loading cycles sums up to large savings over longer periods of time. Load lifting and vehicle traction consume almost all of the power produced by a diesel engine during wheel loader operation. Physical models are developed for these subsystems where the dynamics are described by differential equations. The model parameters are tuned and fuel consumption estimation is validated against measured values from real wheel loader operation. The sensitivity of wheel loader trajectory with respect to constrains such as the angle at which the wheel loader reaches the unloading position is also analyzed. A time and fuel optimal trajectory map is calculated for various unloading positions. Moreover, the importance of simultaneous optimization of wheel loader trajectory and the component transients is shown via a side to side comparison between measured fuel consumption and trajectories versus optimal control results.In another application, optimal control is used to calculate efficient gear shift controls for a heavy duty Automatic Transmission system. A modeling and optimal control framework is developed for a nine speed automatic transmission. Solving optimal control problems using the developed model, time and jerk efficient transient for simultaneous disengagement of off-going and engagement of in-coming shift actuators are obtained and the results are analyzed.Optimal controls of a diesel-electric powertrain during a gear shift in an Automated Manual Transmission system are calcula...

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“…The control technologies for clutch-to-clutch shifts have been studied by many researches in both AT and DCT. For the researches on AT, the sliding model control is used by Runde [1] and the optimization of gearshift based on a model is studied by Haj-Fraj and Pfeiffer [2], but these methods are difficult to apply in practice; a robust adaptive control scheme with intelligent supervisor is studied by Kim et al [3]; the hydraulic washout technique based on open loop control is developed by Bai and Moses [4]; the clutch engagement judder and stick-slip during the shift process are studied by Crowther et al [5]. For the researches on DCT, the engine torque reduction control and transmission output torque control during the inertia phase are used by Goetz [6,7]; the modeling, simulation, and experimental analysis of clutch-to-clutch shifts have been conducted by Liu [8,9]; the extensive vibration analysis of shift process has been studied by Walker [10,11]; the constant output torque control technology based on a power-based integrated powertrain control system has been developed by Bai et al [12].…”

Section: Introductionmentioning

confidence: 99%

Virtual Clutch Controller for Clutch-to-Clutch Shifts in Planetary-Type Automatic Transmission

Cheng

Dong

Yang

et al. 2015

Mathematical Problems in Engineering

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It is known that the shift processes of the four types of clutch-to-clutch shifts can theoretically be divided into two phases which are torque phase and inertia phase, but the execution orders are different. Two virtual clutch controllers are designed with the same eight states which include all control processes for these shifts. An equivalent method is proposed so that AT can be controlled just like DCT by adopting the torque ratios of oncoming clutch and offgoing clutch of each gear. The powertrain system model and the shift controller are established on Matlab/Simulink platform. The clutch-to-clutch shift processes have been studied based on the virtual clutch controller by software-in-the-loop simulations. Some typical problems in the clutch-to-clutch shift control are discussed and several control methods are compared to solve these problems.

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Smooth shift control of automatic transmissions using a robust adaptive scheme with intelligent supervision

Cited by 29 publications

References 0 publications

RETRACTED: Generic control flow for the four types of clutch-to-clutch shifts

RETRACTED: Generic control flow for the four types of clutch-to-clutch shifts

Modeling and Optimal Control of Heavy-Duty Powertrains

Virtual Clutch Controller for Clutch-to-Clutch Shifts in Planetary-Type Automatic Transmission

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