Modeling and control of ball-ramp electromechanical clutch actuator for in-wheel AMT of electric vehicles

Dong, Ge; Wang, Fei; Meng, Dele; Chu, Hongqing; Hong, Jinlong; Gao, Bingzhao

doi:10.1016/j.mechmachtheory.2022.105129

Cited by 10 publications

(5 citation statements)

References 26 publications

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“…The equation of electromagnetic torque of brushless DC motor is in equation (2). a b c e e e 、、 denote the winding counter-electromotive force of each phase, phase currents, ω is motor rotation speed, e T is motor electromagnetic torque.…”

Section: A Modeling Of Electromechanical Systemmentioning

confidence: 99%

“…As the concept of more-electric aircraft remains to expand and develop in the aviation field, the flight control system expects to substitute many secondary energy systems such as hydraulic, pneumatic, and mechanical actuators with electric actuators which are environmentally friendly, small in size, and easy to maintain [1] [2] . More and more civil aircraft subsystems such as brake systems, flight control systems, aircraft environment control systems, aircraft antiicing systems, and other systems choose electro-mechanical actuators (EMA) as their primary driving component.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Force Equalization Control of Redundant Electromechanical Actuation System by FOPID and Current Feedforward

Yang,

Hou,

Sun

et al. 2023

IEEE Access

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To solve force-fight problem of the fly-by-wire redundant electromechanical actuation system(EMAs) in an active-active mode, a force equalization control method with feedforward and feedback control is proposed. Aiming at the un-ideal stability and robust performance of force equalization controller, an optimized Fractional Order PID controller with current feedforward (FO+IF)is adopted. Aiming at the limitation of traditional parameter tuning, the controller parameters are optimized iteratively using the particle swarm optimization (PSO) algorithm. To improve the anti-interference performance of the system, a state observer for load torque is introduced into the current feedforward control. Through setting a serious force fight situation with multiple disturbances, the performance of FOPID and FO+IF on force fight and position response were compared, and the robustness of the system under the influence of sensitive parameters was analyzed by Monte Carlo method. The experimental results show that FO+IF can effectively improve the impact of static force fight and dynamic force fight on the system.

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Section: A Modeling Of Electromechanical Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Force Equalization Control of Redundant Electromechanical Actuation System by FOPID and Current Feedforward

Yang,

Hou,

Sun

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Udwadia-Kalaba equation was used to solve constraint force without introducing Lagrange multiplier and other parameters 15 . Dong et al 16 designed a ball-ramp electromechanical clutch actuator for electric vehicles and established the actuator model. The axial position of the clutch was regarded as the control target to control the torque of the clutch, and triple-step control was adopted to track the clutch position.…”

Section: Introductionmentioning

confidence: 99%

An improved adaptive position tracking strategy for automatic shift actuator with uncertain parameters

Yin,

Wang,

Gao

et al. 2024

Sci Rep

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Realizing precise and fast position control of the gear is a challenging issue because of its nonlinearity, parameter uncertainty and external disturbance. Therefore, this paper researches the clutch position control considering the influence because of the factor on the system performance. By virtue of the traditional adaptive control method, an improved strategy based on finite time theory is proposed to further improve the convergence rate as well as the position tracking precision. First, a model of electromechanical clutch actuator system is established by theoretical analysis. Then, an enhanced adaptive controller is designed using finite time idea by introducing power function in the virtual control. And parameter update rate is adopted in the control action. Next, the stability of the control system is proved theoretically. Finally, Matlab simulations and experimental bench test are carried out to exhibit the effectiveness of the presented method. The results show that the satisfactory performance has been achieved with accurate position tracking and fast convergence speed.

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“…Feng et al [14] propose a dual clutch transmission launching control strategy based on pseudo-spectral optimization and data-driven control to respond to time-varying launching intentions, reduce friction and jerk, and improve launching quality. To accurately control the torque of the vehicle, positional closed-loop control [15,16] is generally used via an actuator, or torque control can be used directly [17,18]. Guo et al [19] propose a combined pressure feedback controller based on a PID algorithm to control the clutch torque to follow a reference torque trajectory.…”

Section: Introductionmentioning

confidence: 99%

Optimal Torque Control of the Launching Process with AMT Clutch for Heavy-Duty Vehicles

Geng,

Liu,

Liu

et al. 2024

Machines

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When launching a heavy-duty vehicle, torque and position control during automatic clutch engagement is critical, and the driver’s intention to launch and changes in the vehicle’s launching resistance make clutch control more complex. This paper analyses the automatic engagement process of automated mechanical transmission (AMT) clutches and proposes an optimal control of the clutch torque for launching heavy-duty vehicles. Firstly, a fuzzy neural network (FNN)-based vehicle launching states recognition (LSR) system is designed for distinguishing the driver’s launching intention and the vehicle’s launching equivalent moment of resistance. Secondly, jerk, friction work, and launching reserve power are taken as the performance indexes for clutch torque optimization, the weight coefficients of each performance index are adjusted according to the LSR results, and the optimal clutch torque is solved by using the minimum value principle based on the shooting method. Finally, simulations and tests are conducted to validate the strategy of optimizing clutch torque, and the impact of torque optimization on the position change during the engagement process is analyzed. The results indicate that under different driver’s intentions, vehicle masses, and road gradient conditions, the jerk, friction work, and slipping time of heavy vehicles during the launching process are improved by applying the optimization strategy.

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Modeling and control of ball-ramp electromechanical clutch actuator for in-wheel AMT of electric vehicles

Cited by 10 publications

References 26 publications

Force Equalization Control of Redundant Electromechanical Actuation System by FOPID and Current Feedforward

Force Equalization Control of Redundant Electromechanical Actuation System by FOPID and Current Feedforward

An improved adaptive position tracking strategy for automatic shift actuator with uncertain parameters

Optimal Torque Control of the Launching Process with AMT Clutch for Heavy-Duty Vehicles

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