Application of genetic fuzzy immune PID algorithm in cruise control for commercial vehicles

Jing, Zhecheng

doi:10.1063/5.0021564

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…The advantages of the proposed algorithm are verified by experiments in terms of solution accuracy and convergence speed. Jing proposed a genetic fuzzy immune PID algorithm to achieve a constant speed in this study [8]. The results showed that the algorithm has a significant effect.…”

Section: Introductionmentioning

confidence: 88%

Parameter Tuning of Brushless DC Motor for Improving Control Effect with Worm Algorithm

Qin¹,

Wang²,

Xiao³

2021

EJEE

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Aiming at the problem of low control precision and small applicable scope caused by adjusting control parameters in Ziegler-Nichols (ZN) method, a parameter tuning method based on Worm algorithm (WOA) is proposed for Brushless DC motor. Firstly, the model of speed control is established by proportional integral method for Brushless DC motor with two - phase conduction and three - phase full bridge drive. Then the fitness function of the controller is constructed by the Integral Absolute Error (IAE). Finally, the early optimization process, the later movement rule and the peak extraction rule are determined for WOA, and the controller parameter tuning process is designed. Simulation results under constant and sinusoidal conditions show the effectiveness of the proposed method. WOA was compared with ZN, genetic algorithm (GA), differential evolution algorithm (DE) and particle swarm optimization algorithm (PSO) in the experiment. The experimental results show that the control effect (CE) of WOA under uniform speed has been improved by 2.56% on average, and has been improved by 16.93% on average under sinusoidal speed. Compared with previous methods, this method can be used for parameter adjustment of complex control with higher control precision.

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Section: Introductionmentioning

confidence: 88%

Parameter Tuning of Brushless DC Motor for Improving Control Effect with Worm Algorithm

Qin¹,

Wang²,

Xiao³

2021

EJEE

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“…However, the hybridization probability Pc and mutation probability Pm of the above genetic algorithms often adopt fixed values or fixed functions to adjust the parameters. However, it is very difficult to determine an appropriate Pc and Pm: when large values are used, good individuals may be destroyed, and the genetic algorithm turns arbitrary search algorithm, which destroys the stability and robustness of the algorithm, whereas when a smaller value is adopted, the algorithm will lose its ability to maintain population diversity, leading to premature convergence of the algorithm and falling into local solutions [5]. ey are frequently used in industry for a range of tasks such as issue prediction, fault diagnostics, centralized management, energy management, production management, and computer engineering, to mention a few [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…ere has been a surge of attention in the use of FNNs to handle variables only with the potential of creating a model to learn from operations in recent years [5].…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2‐DOF PID Controller

Ding

Prabhakar

Khosla

et al. 2022

Discrete Dynamics in Nature and Society

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To solve the difficulty in selecting the crossover probability and mutation probability in genetic algorithms, a fuzzy immune algorithm based on adaptive estimation of crossover probability and mutation probability in a fuzzy reasoning system is proposed, and it is used in the parameter optimization design of a two-degree-of-freedom PID controller. According to the experiment and simulation results, classic genetic algorithm evolution tends to halt after 37 generations, with a fitness value of 7.135, whereas fuzzy genetic algorithm evolution tends to stop after 20 generations, with a fitness value of 7.486. The 2-DOF PID controller that was created can give the system strong target value following and interference suppression features at the same time.

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Mathematical model of a hydraulic retarder based on Rankine–vortex dynamics

Huang,

2023

Physics of Fluids

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Accurate theoretical models of actuators are crucial for researching autonomous driving in heavy-duty commercial vehicles (HDCVs). A hydraulic retarder is a widely used auxiliary braking device in HDCVs that prevents thermal failure of the main brake resulting from continuous braking. The working chamber and the control system are closely interconnected within the hydraulic retarder, forming a highly nonlinear system. Therefore, most mathematical models for predicting the braking torque of hydraulic retarders have separated the working chamber from the control systems, making it difficult to explain the differences between the hydraulic retarder's predicted and actual performance. This paper establishes a novel mathematical model incorporating the working chamber and control system analysis for a hydraulic retarder based on Rankine vortex dynamics. A functional relationship was obtained between the hydraulic retarder's braking torque and the rotor speed, control pressure, float chamber pressure, oil density, and characteristic parameters of the working chamber. The mathematical model has been verified through computational fluid dynamics (CFD) and experiments. CFD results show the velocity distribution of oil vortex flow in the working chamber, and the variation laws of the fundamental parameters are consistent with the established mathematical model. The average errors between the mathematical model calculated and experimental braking torque are 6.3%, 9.5%, 11.8%, and 4.2% at control pressures of 2.8, 2.2, 1.4, and 0.6 bar, respectively, confirming the mathematical model's effectiveness. The mathematical model holds significant value for the design and development of hydraulic retarders and the control strategies of HDCVs with hydraulic retarders.

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Application of genetic fuzzy immune PID algorithm in cruise control for commercial vehicles

Cited by 3 publications

References 11 publications

Parameter Tuning of Brushless DC Motor for Improving Control Effect with Worm Algorithm

Parameter Tuning of Brushless DC Motor for Improving Control Effect with Worm Algorithm

Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2‐DOF PID Controller

Mathematical model of a hydraulic retarder based on Rankine–vortex dynamics

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