Fractional order PID control for steer-by-wire system of emergency rescue vehicle based on genetic algorithm

Xu, Feixiang; Liu, Xinhui; Chen, Wei; Zhou, Chen; Cao, Bing-wei

doi:10.1007/s11771-019-4178-4

Cited by 14 publications

(8 citation statements)

References 39 publications

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“…At present, more popular sports exercise tools or fitness equipment have been developed. With the development of society, some jobs require people to have a good physical fitness to adapt, which strengthens the importance of physical exercise, but due to the restriction of some objective factors, such as climate, environment, and venue, people pay more and more attention to indoor exercise, and treadmill fitness has become the preferred way for people to exercise [ 2 ]. From a physical point of view, on the ground or on a treadmill, the motion is almost the same, but from a mechanical point of view, on a treadmill, since the belt can drive the lower limbs, the movement force and force become more flexible, which can save people's leg force [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Research on Fitness Movement Monitoring System Based on Internet of Things

2022

Journal of Healthcare Engineering

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A multiuser motion-monitoring system based on MEMS is proposed for fitness movement, it is used to monitor the three important parameters of movement type, movement times, and movement cycle in the body movement and supports the simultaneous use of multiple users. The specific content of the method: (1) In terms of system design, a motion-monitoring system framework based on the Internet of things is proposed considering the motion-monitoring scene oriented to intelligent fitness. (2) In the aspect of algorithm, the relevant research of motion pattern recognition and cycle calculation method is carried out. For action pattern recognition, SVM-based algorithm to adapt to different computing capabilities of the scene is applied. (3) Experiments on 7 kinds of actions show that the proposed deep neural network has a good learning effect on small datasets, the recognition accuracy of the proposed deep neural network reaches 97.61%, and the recognition accuracy of SVM also reaches over 96%. In the 50 times of operation cycle calculation experiments, the frequency statistics algorithm has reached 100% of the calculation accuracy, and the calculation results of the operation cycle are close to the real value, which proves the validity of the method of cycle calculation. The experiment proves that the zero-crossing detection and wavelet analysis methods have a good overall effect and can accurately count and calculate the period when the number of actions is more, improve fitness efficiency, and provide guarantee for human health.

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Section: Introductionmentioning

confidence: 99%

Research on Fitness Movement Monitoring System Based on Internet of Things

2022

Journal of Healthcare Engineering

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“…Du et al [88] presented a GA-based nonlinear optimization model to determine the optimal steering angle and acceleration rate in order to enhance the maneuverability in AVs. Xu et al [89] proposed GA fractional-order PID (FOPID) based model to optimize the five PID parameters (i.e., integral constant, derivative constant proportional constant, and integral and derivative order) to mitigate the integral of time by absolute value error (ITAE) to enhance the accuracy of the automated steer-by-wire (SBW) system. Zhao et al [90] have proposed the GA-PID-based model to optimize the parameters of the lateral dynamic model of the vehicle to improve the stability of the steering control in linear and circular trajectory tracking.…”

Section: Evolutionary Methodsmentioning

confidence: 99%

“…In the literature, various optimization techniques have been employed to fine-tune the output of the steering control systems. References [86][87][88][89][90] have utilized the genetic algorithms to optimize the kinematical and dynamic model of the steering controller of the vehicle. Besides, references [22,[103][104][105][106][107][108][109][110][111][112][113][114][115][116] have used swarm optimization techniques to optimize the parameters of the steering control methods.…”

Section: Lack Of Validation Techniques For the Optimizationmentioning

confidence: 99%

Are Self-Driving Vehicles Ready to Launch? An Insight into Steering Control in Autonomous Self-Driving Vehicles

Rasib

Butt

Khalid

et al. 2021

Mathematical Problems in Engineering

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In the last couple of years, academia-industry collaboration has demonstrated rapid advancements in the development of self-driving vehicles. Since it is evident that self-driving vehicles are going to reshape the traditional transportation systems in near future through enhancement in safe and smart mobility, motion control in self-driving vehicles while performing driving tasks in a dynamic road environment is still a challenging task. In this regard, we present a comprehensive study considering the evolution of steering control methods for self-driving vehicles. Initially, we discussed an insight into the traditional steering systems of the vehicles. To the best of our knowledge, currently, there is no taxonomy available, which elaborates steering control methods for self-driving vehicles. In this paper, we present a novel taxonomy including different steering control methods which are categorized into deterministic and heuristic steering control methods. Concurrently, the abovementioned techniques are critically reviewed elaborating their strengths and limitations. Based on the analysis, key challenges/research gaps in existing steering control methods along with the possible solutions have been briefly discussed to improve the effectiveness of the steering system of self-driving vehicles.

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“…Based on the theory of fractional calculus, Xu Feixiang and Liu Xinhui designed a fractional proportional integral derivative controller to control the movement of the steering cylinder in the SBW system. The optimized controller has a better transient response, tracking performance, and robustness than the traditional PID controller [17]. Kwangseok Oh, Salem Haggag, Mattia Rigotti-Thompson and others improved steering performance and reduced energy consumption by adding control algorithms to hydraulic controller [17].…”

Section: Introductionmentioning

confidence: 99%

“…The optimized controller has a better transient response, tracking performance, and robustness than the traditional PID controller [17]. Kwangseok Oh, Salem Haggag, Mattia Rigotti-Thompson and others improved steering performance and reduced energy consumption by adding control algorithms to hydraulic controller [17]. Kwangseok Oh, Salem Haggag, Mattia Rigotti-Thompson and others improved steering performance and reduced energy consumption by adding control algorithms to hydraulic steering systems [18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Research on Steering Vibration Analysis of Wheel Loader and Cushion Valve Design

Wang

Zhu

et al. 2022

Energies

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At present, the wheel loaders on the market have steering vibration problems, which can be summarized as follows: the front frame and the cab vibrate violently at the beginning and at the end of steering. This paper analyzed the steering vibration mechanism by collecting the pressure at different positions of the hydraulic steering system and AMESim simulation. A cushion valve was designed to solve the problem of steering vibration. Finally, the prototype test was carried out and it was concluded that the cushion valve reduced the steering pressure starting shock by 50%, the stop vibration was reduced by 75%, and the suction problem no longer occurred. Further, the analysis provides theoretical and experimental basis for research on the steering system of loaders, and also provides new ideas for the design and optimization of vehicle steering systems.

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Fractional order PID control for steer-by-wire system of emergency rescue vehicle based on genetic algorithm

Cited by 14 publications

References 39 publications

Research on Fitness Movement Monitoring System Based on Internet of Things

Research on Fitness Movement Monitoring System Based on Internet of Things

Are Self-Driving Vehicles Ready to Launch? An Insight into Steering Control in Autonomous Self-Driving Vehicles

Research on Steering Vibration Analysis of Wheel Loader and Cushion Valve Design

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