Power on gear shift control strategy design for a parallel hydraulic hybrid vehicle

Zhou, Shilei; Walker, Paul; Wu, Jinglai; Zhang, Nong

doi:10.1016/j.ymssp.2021.107798

Cited by 18 publications

(4 citation statements)

References 32 publications

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“…45,46 The control objective is to define the appropriate weighting matrices to minimise its cost function in Equation 13. 47,48 J X,…”

Section: Lqr Controlmentioning

confidence: 99%

A novel structural seismic protection system with negative stiffness and controllable damping

Askari

et al. 2021

Struct Control Health Monit

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In this paper, an innovative controllable negative stiffness system (CNSS) integrating adaptive negative stiffness and controllable damping characteristics is proposed to realise desirable vibration protection and improve adaptability, hence being effective to various earthquakes. The force-displacement relationship of the CNSS is derived as the forward model to describe its nonlinear properties. Three representative control algorithms, i.e., Linear Quadratic Regular (LQR) control, H∞ control and Sliding Mode (SM) control, are utilised for the CNSS to attain optimal control force. Based on the Takagi-Sugeno-Kang (TSK) Fuzzy inference system optimised by Non-Dominated Sorted Genetic Algorithm II (NSGAII), a novel inverse model is proposed accordingly to obtain input current according to the required control force and real-time system responses. To demonstrate the feasibility and efficiency of the CNSS for structural seismic protection, a numerical case study is conducted on a three-storey building model with CNSS installed on its first floor. Four scaled benchmark earthquakes are employed as excitations for the case study. Ten evaluation criteria are adopted to assess and verify the performance of the CNSS, and comparisons are made with that of uncontrolled and passive controlled systems. The numerical results indicate that the proposed CNSS can significantly improve the vibration control performance on all evaluation criteria simultaneously in comparison with the other two conventional systems. In addition to having good suppression effects on peak floor displacement and peak inter-storey drift, the CNSS with the SM controller demonstrates superior performance on mitigating peak structure shear and peak acceleration response of the first floor.

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“…45,46 The control objective is to define the appropriate weighting matrices to minimise its cost function in Equation 13. 47,48 J X,…”

Section: Lqr Controlmentioning

confidence: 99%

A novel structural seismic protection system with negative stiffness and controllable damping

Askari

et al. 2021

Struct Control Health Monit

View full text Add to dashboard Cite

show abstract

“…This paper focuses on the practicability and operability of the algorithm. As a classical algorithm, PSO has been widely used and verified by a large number of scholars [9,25]. Therefore, owing to space limitation, this paper does not compare this algorithm with other algorithms.…”

Section: Shift Point Establishment Based On Particle Swarm Optimizationmentioning

confidence: 99%

“…Dual clutch transmission is becoming a hot research product in the category of automatic transmission. [1][2][3][4] In the optimization research of double clutch transmission, [5,6] besides the coordination control of clutch, [7][8][9] the formulation of shift law also deserves adequate attention. [10][11][12][13][14][15][16] Due to the different vehicle types, [17,18] the transmission ratio and the matching power source are different.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Shift Point Strategy for DCT Based on Particle Swarm Optimization

et al. 2021

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For a vehicle equipped with DCT, the vehicle model is established according to the existing experimental data. The traditional method is used to solve the law of economic and dynamic shift, respectively. Then, the dynamic objective function and economic objective function are designed. After normalization of the two functions, the weighted combination is carried out to get the comprehensive objective function. The traditional shift law obtained in the previous paper is regarded as the limit value of variable optimization by particle swarm optimization algorithm, and the comprehensive objective function designed in this paper is solved. The shift law obtained by the three methods is integrated into Simulink model, and the dynamic and economic verification are carried out, respectively. By comparing the acceleration time of 0–100, 0–70, and 70–120 km/h, the dynamic performance of the shift point is obtained by three methods. The final test results show that the economy of the optimized shift point is improved by 1.37% and 3.17%, respectively. The power performance increased by 4.087%, 15.28%, and −10.70%, hence, achieving the desired results.

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“…The HST system, like the hydraulic system, has typical nonlinear control characteristics [13]. In engineering practice, local linear control methods or control strategies with high fault tolerance [14], such as proportional-integral-derivative (PID) control, adaptive control, and sliding mode control (SMC), are often used. Joni and Reza [15] proposed a PID control method with state feedback to ensure the stability of speed regulation.…”

Section: Introductionmentioning

confidence: 99%

Design and Control Performance Optimization of Variable Structure Hydrostatic Drive Systems for Wheel Loaders

Wang,

Wang

et al. 2024

Machines

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The traditional loader drive system is based on the hydraulic torque converter as the key component, and its gear is shifted through the coordination of the clutch and gearbox, which greatly increases power loss and operator fatigue. To address the above problem, a variable-structure hydrostatic drive system is proposed. This system adopts a closed-loop design and adjusts the displacement of the pump and dual motors to follow the throttle opening of the vehicle, achieving automatic gear shifting and smooth speed regulation. It can also automatically change the system structure according to the vehicle’s speed, meeting the vehicle’s demand for rapid switching output of high torque and high speed. At the same time, in the displacement matching control process, an adaptive sliding mode control scheme based on radial basis function neural network compensation is proposed. This scheme designs an adaptive hyperparameter update strategy according to the characteristics of the system to effectively compensate for changes in uncertain factors. Experimental results show that, compared to traditional drive systems, this system has the characteristics of simple operation, smooth speed regulation, and high fuel economy.

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Power on gear shift control strategy design for a parallel hydraulic hybrid vehicle

Cited by 18 publications

References 32 publications

A novel structural seismic protection system with negative stiffness and controllable damping

A novel structural seismic protection system with negative stiffness and controllable damping

Optimal Design of Shift Point Strategy for DCT Based on Particle Swarm Optimization

Design and Control Performance Optimization of Variable Structure Hydrostatic Drive Systems for Wheel Loaders

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