Hybrid Fuzzy-PID Control Development for a Truck Air Suspension System

Nazemian, Hossein; Masih‐Tehrani, Masoud

doi:10.4271/02-13-01-0004

Cited by 12 publications

(8 citation statements)

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“…A cost function was defined to reduce the undesirable response of the vehicle. 36,37 It is performed with a genetic algorithm (GA) to minimize the cost function. Both of the fuzzy input and output have nine membership functions, which are optimized with the GA method.…”

Section: Methodsmentioning

confidence: 99%

“…The controllers used for roll and height adjustment are the optimized hybrid fuzzy-PID controller. 36,37 Figure 6 illustrates the details of each controller. The way of optimizing these controllers are not discussed.…”

Section: Controlling Methodsmentioning

confidence: 99%

“…This initial guesses should be optimized because they are not accurate. 36,37 For minor road excitation, the interconnected mode engages more than the outsourced mode. Because in minor excitation, the vehicle body is unlikely to have bad dynamical behavior.…”

Section: Controlling Methodsmentioning

confidence: 99%

“…An optimized height and leveling hybrid fuzzy-PID (proportional-integral-derivative) controller 36,37 is used in this paper. This controller is just for determining the mass flow rate that is provided from the air reservoir, not considering the interconnected solenoid valves activities.…”

Section: Introductionmentioning

confidence: 99%

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Development of an optimized game controller for energy saving in a novel interconnected air suspension system

Nazemian

Masih‐Tehrani

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this study, the focus is on reducing the energy that is consumed by a compressor for providing high air pressure in the reservoir. A new air suspension configuration is presented that is titled active interconnected air suspension with outsourced air pressure. In this configuration, a compressor is used to charge the tank; meanwhile, the air springs are connected. For minor excitation, first, the air flows between air springs to control roll angle and height adjustment. If the situation of body position gets worse, the compressed air tank compensates to keep the body not generating roll angle and bounce. This methodology has a benefit. This configuration conserves compressed air in the tank in minor road elevation. The optimized controllers are designed to control roll angle and bounce, but they determine the outsourced air mass flow rate. For switching between interconnection and outsourced mode, there are some rules defined based on game theory for a trade-off between high dynamical performance quality of the vehicle and reduction of energy consumption. The optimization is done on the rules to keep both aspects minimum as much as possible. A three-axle heavy truck is used, and its performance is under discussion on an uneven rough road. Roll angle is improved progressively in novel air suspension configuration, and the energy consumption is reduced. In the default condition, the roll angle is improved 72% from the passive case and 39% from the conventional configuration. Furthermore, the energy consumption optimized version reduces 14% from the non-optimized case and 46% from the outsourced mode. By importing road power spectral density type E and type G, as the short domain and high-frequency vibrations, to two sides of the truck, it is inferred that the vehicle could remain on interconnection mode entirely without using the compressor.

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Section: Methodsmentioning

confidence: 99%

Section: Controlling Methodsmentioning

confidence: 99%

Section: Controlling Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of an optimized game controller for energy saving in a novel interconnected air suspension system

Nazemian

Masih‐Tehrani

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…The seat-cab system is an essential part of modern trucks [6] and [7]. Their suspension systems directly affect the NVH (noise, vibration, and harshness) performance [8] and [9]. The optimal design of the seat-cab system through dynamic models is an important and effective means to improve ride comfort.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Coupled Dynamic Modelling of Driver-seat-cab System and Biomechanical Behaviour Prediction

Zhao¹,

Yu²,

Cao³

et al. 2022

sv-jme

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The biomechanical responses of the driver-truck system in a dynamic environment have become a significant concern in the design and control of trucks. When evaluating the riding comfort of the seat-cab system, it is necessary to predict the biomechanical responses of the driver’s different parts and directions. However, there is no reliable model and method for effectively predicting the response characteristics of the driver-seat-cab system. Aiming at such problem, firstly, based on the 7 DOF (degree-of-freedom) seated human biodynamic model established previously, a 10 DOF non-linear dynamic model of the driver-seat-cab system was created, and its vibration differential equations were established. Secondly, the vibration signals for simulation and verification were collected through the road test using a truck. Thirdly, based on the Newmark-β integration method, the specific solution process of the model was given. The non-linear damping coefficients of the front and rear dampers for the cab suspensions were measured with a bench test. Moreover, the simulations were conducted based on the measured model parameters, taking the collected frame vibration signals as the inputs. The results show that the simulation results agree with the test results, proving that the dynamic model can effectively predict the driver’s biomechanical responses. Finally, some useful conclusions were obtained through the simulation analysis. The established model and conclusions can provide technical support for comfort evaluation, optimization design, and control of the seat-cab suspension system.

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Modeling, control design and experimental automatic calibration of a leveling system for combine harvesters

Dettù

Corno

D'Ambrosio³

et al. 2023

Control Engineering Practice

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Hybrid Fuzzy-PID Control Development for a Truck Air Suspension System

Cited by 12 publications

References 0 publications

Development of an optimized game controller for energy saving in a novel interconnected air suspension system

Development of an optimized game controller for energy saving in a novel interconnected air suspension system

Nonlinear Coupled Dynamic Modelling of Driver-seat-cab System and Biomechanical Behaviour Prediction

Modeling, control design and experimental automatic calibration of a leveling system for combine harvesters

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