A multi-objective optimization method based on NSGA-II algorithm and entropy weighted TOPSIS for fuzzy active seat suspension of articulated truck semi-trailer

Gheibollahi, Hamid; Masih‐Tehrani, Masoud

doi:10.1177/09544062231151799

Cited by 2 publications

(2 citation statements)

References 36 publications

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“…Ref. [14] proposed to optimize the fuzzy logic controller (FLC) active seat suspension applied to articulated truck semi-trailer seats by using the NSGA-II algorithm, and the two objective functions optimized are seat vertical acceleration and controller control force to improve the seating comfort. Ref.…”

Section: Introductionmentioning

confidence: 99%

“…The suspension model established by [13][14][15] is mainly a relatively simple 1/4 suspension model; the 1/4 suspension model can only consider the suspension performance indicators at a single axle, and it is difficult to comprehensively evaluate the performance of the whole vehicle, whereas the full vehicle model can take into account the force and movement of the vertical, pitch, roll and other degrees of freedom during the driving process of the car, optimize more indicators, evaluate the vehicle more comprehensively, and be more conducive to the study of the smoothness of the car. Secondly, because fractional order PI λ D µ control has higher design freedom, the design of fractional order PI λ D µ controller is more flexible than integer order PID controller [16,17].…”

Section: Introductionmentioning

confidence: 99%

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Tuning Parameters of the Fractional Order PID-LQR Controller for Semi-Active Suspension

Gao,

2023

Electronics

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In order to further improve the control effect of proportion integral differential (PID) control and linear quadratic regulator (LQC) control, and improve vehicle ride comfort and enhance body stability, the 7 DOF semi-active suspension model was established, and the fractional order PIλDμ-LQR controller was designed by combining fractional order PIλDμ control theory and LQR control theory. The semi-active suspension model in this paper is more complex, and there are many parameters in the controller. The optimal weighting coefficient of 12 vehicle smoothness evaluation indicators and parameters Kp, Ki, Kd, λ and μ in the controller were founded by NSGA-II algorithm. After optimization, the optimized parameters were brought into the controller for random pavement simulation. Compared to the traditional passive suspension, fractional order PIλDμ individual control and LQR separate control, the simulation results show that the effect of fractional order PIλDμ-LQR control is very significant. The evaluation index of vehicle smoothness has been significantly improved, and the use of fractional order PIλDμ-LQR control has significantly improved the working performance of the suspension and improved the smoothness of the vehicle. At the same time, the adjusting force output of the actuator is very balanced, which inhibits the roll of the body and improves the anti-roll performance. After simulation, the excellent performance of the designed fractional PIλDμ-LQR controller was verified, and the introduced NSGA-II algorithm played an important role in the controller parameter tuning work, which shows that the fractional order PIλDμ-LQR controller and NSGA-II algorithm cooperate with each other to achieve good control effects.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tuning Parameters of the Fractional Order PID-LQR Controller for Semi-Active Suspension

Gao,

2023

Electronics

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Development of a hybrid intelligent switching hydraulically interconnected suspension system under a multi-objective optimized mode selection strategy with real-world condition

Damavandi,

Mashadi,

Masih-Tehrani

2024

Proceedings of the Institution of Mechanical Engineers, Part D:

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Reduction in vertical acceleration is crucial for car manufacturers. This parameter evaluates the comfort index. Moreover, the handling index is another feature that must be under investigation. The suspension system has an essential impact on these two indices. A hybrid intelligent switching hydraulically interconnected suspension (HISHIS) is proposed. The parallel configuration is combined with the diagonal configuration in the suspension system. A mode selection strategy is discussed to select the layout between diagonal and parallel configurations. The only mode of parallel configuration is called Anti-pitch configuration. The diagonal configuration has three modes, including Anti-roll, Anti-oversteering, and Anti-vibration configuration. According to the mode selection strategy, one of these three diagonal configuration modes might be selected. The origin of roll and pitch generation is inertia force and road inputs. Hopfield neural network can recognize the origin of roll and pitch generation. Therefore, the performance of valves will change according to Hopfield neural network recognition. The results of different maneuvers show the improvement at each targeted parameter in various tasks independently. The data logger gathered the acceleration of the vehicle in real-world conditions. However, the margins of the selection strategy block are multi-objective optimized with a genetic algorithm to reach better responses in real-world conditions. The roll angle, yaw rate, allowable exposure time, and pitch angle are improved by 63%, 5%, 40%, and 99% on average. Also, optimizing the selection strategy improves the allowable exposure time by 9%. Obviously, by combining two layouts, it is possible to have a flexible situation to improve ride comfort and handling situations. In addition, there is a conditional strategy to select different layouts and modes to reach a better response.

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A multi-objective optimization method based on NSGA-II algorithm and entropy weighted TOPSIS for fuzzy active seat suspension of articulated truck semi-trailer

Cited by 2 publications

References 36 publications

Tuning Parameters of the Fractional Order PID-LQR Controller for Semi-Active Suspension

Tuning Parameters of the Fractional Order PID-LQR Controller for Semi-Active Suspension

Development of a hybrid intelligent switching hydraulically interconnected suspension system under a multi-objective optimized mode selection strategy with real-world condition

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