Decoupling internal model control for the robust engagement of clutches

Zhao, Dawei; Chen, Li; Miao, Dongxiao

doi:10.1016/j.mechatronics.2020.102466

Cited by 8 publications

(2 citation statements)

References 31 publications

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“…Therefore, speed tracking-based feedback control offers greater control precision and other advantages. Various methods for shift process tracking control have been implemented in studies using the clutch and engine speed as feedback, including fuzzy control, 15 sliding mode control, 16 model predictive control, 17,18 internal model control, 19 robust control, 14 backstepping, 20 self-tuning proportional-integral-derivative (PID). 21 Using the state quantity with an accurately measured feedback value can improve the control accuracy and reduce the number of calculations.…”

Section: Introductionmentioning

confidence: 99%

Pseudo-spectral optimization and model predictive control of vehicle shift process with dual clutch transmission

Feng

Qin

Liu

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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To improve the shift quality of dual clutch transmission (DCT) vehicles and reduce the jerk and sliding friction in the shift process, a real-time planning of clutch optimal engagement trajectory and control method in the shift process is proposed. This method combines pseudo-spectral optimization, machine learning, and model predictive control. First, considering the jerk, sliding friction work, and shift time as the optimization indices, the adaptive pseudo-spectral method is employed to optimize the engagement trajectory of the clutch during the shift process. Based on the optimal trajectory data set, a gradient boosting decision tree-based real-time planning method for the clutch target engagement trajectory is proposed. Second, a model predictive control strategy for the shift process is proposed based on the DCT system model to track the optimal target trajectory in real-time. Simulations and experiments reveal that the proposed target engagement trajectory planning method can plan the clutch target engagement trajectory for various accelerator pedal openings and initial clutch speed states in real-time, and the proposed model predictive control method can accurately track the target trajectory. Compared with the original vehicle strategy, under 35% and 65% accelerator pedal opening, the maximum absolute value of jerk produced by the proposed strategy was reduced by 31.06% and 31.46%, respectively, and the sliding friction work was reduced by 22.87% and 23.24%, respectively. The shift times of the proposed strategy under 35% and 65% accelerator pedal openings were 19.12% and 20.69% lower than that of the original vehicle strategy, respectively.

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Section: Introductionmentioning

confidence: 99%

Pseudo-spectral optimization and model predictive control of vehicle shift process with dual clutch transmission

Feng

Qin

Liu

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

show abstract

“…Chekari et al 13 designed a TDF internal mode proportional–integral–derivative (PID) multi-loop controller for the coupled tank model and verified its tracking and disturbance rejection through simulation. Ding et al 14 proposed a decoupled TDF-IMC controller to be applied to the clutch dual-input dual-output coupling system and verified the robustness and immunity of the control method. Singh et al 15 proposed a TDF internal model PID control scheme based on power system load frequency control, which enriched the interference suppression performance of the closed-loop system.…”

Section: Introductionmentioning

confidence: 99%

Two-degree-of-freedom internal model control of particle swarm optimization for flow temperature control system in phase change material packaging technology

Zhang

Duan

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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In this article, a phase change material packaging process system was designed. In view of the hysteresis of the system flow temperature control, a two-degree-of-freedom internal model PID (PSO-TDF-IMC-PID) controller based on particle swarm optimization was determined based on the flow regulating valve model, so as to control the phase change material outlet temperature to keep constant with establishing the system heat transfer model. Compared with other control algorithms, the PSO-TDF-IMC-PID algorithm is proved to be fast, anti-interference and robust. The traditional integral of time multiplied by the absolute value of error criterion performance index is improved, and the improved integral of time multiplied by the absolute value of error criterion is applied to PSO-TDF-IMC-PID algorithm for simulation comparison. Simulation results show that the improved integral of time multiplied by the absolute value of error criterion can effectively eliminate overshoot. The overshoot is reduced from the original 8% to almost 0. To reduce system energy consumption and improve economy, energy consumption constraint conditions are added into the variable trial-error algorithm to calculate economic flow rate and inlet temperature of heat conduction oil. The results show that the dynamic parameters of the system accord with the constraint condition of energy consumption.

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Thermal behavior of friction discs in dry clutches based on a non-uniform pressure model

Yong-chun

Chen

Cheng

2022

Case Studies in Thermal Engineering

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Decoupling internal model control for the robust engagement of clutches

Cited by 8 publications

References 31 publications

Pseudo-spectral optimization and model predictive control of vehicle shift process with dual clutch transmission

Pseudo-spectral optimization and model predictive control of vehicle shift process with dual clutch transmission

Two-degree-of-freedom internal model control of particle swarm optimization for flow temperature control system in phase change material packaging technology

Thermal behavior of friction discs in dry clutches based on a non-uniform pressure model

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