Prediction of Military Vehicle’s Drawbar Pull Based on an Improved Relevance Vector Machine and Real Vehicle Tests

Fan, Yilin; Sun, Weiqiang; Lin, Guiping; Zhang, Weigong

doi:10.3390/s16030351

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…Various models describing the functional relationship of DP vs. s and TE vs. NTR are useful to determine the test tractor's tractive performance. The authors of previous research works have used, for example, a quadratic polynomial regression technique [33][34][35] or a nonlinear regression technique [36]. The regression equations for drawbar pull DP and tractive efficiency TE used in reference [36] were applied to evaluate the traction performance of the spike device with the worm gear unit and are expressed by Equations ( 5) and ( 6):…”

Section: Tractive Performance Evaluation Of Various Front-driving Whe...mentioning

confidence: 99%

Spike Device with Worm Gear Unit for Driving Wheels to Improve the Traction Performance of Compact Tractors on Grass Plots

Abrahám,

Majdan,

Kollárová

et al. 2024

Agriculture

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In general, energy loss reduction via the interaction of tires with the ground improves tractor traction performance when a drawbar pull is generated. This paper is examines the driving wheels with steel spikes for a tractor equipped with modern radial tires. An improved design of the spike device that allows for the change between an active and inactive position of the spikes is presented. The traction performance of a compact articulated tractor with the spike device was tested on a grass plot with two soil moisture contents (SMC). The highest difference in the drawbar pull in the range from 14.2% to 40.5% and from 17.1% to 36.8% was reached by the spikes in the active position in comparison with the tires without spikes, which were at the slip range from 45% to 5% in the case of the low SMC when the test tractor was in the 3rd and 1st gear. The motion resistance difference between the spikes in the active position and the tires without spikes was 11.8% and 2.5% at the low and medium SMC, respectively. At the low and medium SMC, the highest tractive efficiency of 0.765 (0.721) and 0.757 (0.731) was reached by the spikes in the active position when the test tractor was in the 1st (3rd) gear in comparison with 0.736 (0.7) and 0.723 (0.708) in the case of the tires without spikes. The results indicated that the spike device allowed for the improvement of tractor tractive performance.

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Section: Tractive Performance Evaluation Of Various Front-driving Whe...mentioning

confidence: 99%

Spike Device with Worm Gear Unit for Driving Wheels to Improve the Traction Performance of Compact Tractors on Grass Plots

Abrahám,

Majdan,

Kollárová

et al. 2024

Agriculture

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“…Currently, the SK used in RVM is mainstream [31,32]. There is a small number of studies on weighted MK-RVM relying on previous experience [33] or an incremental learning approach [34]. After the above analysis, from a perhaps surprising perspective of big data with MapReduce based parallel computation, a new prediction approach integrating MK-RVM and adaptive fruit fly optimization algorithm (AFOA) is presented which takes into account the characteristics of sample distribution.…”

Section: Introductionmentioning

confidence: 99%

Accommodation of curtailed wind power by electric water heaters based on a new hybrid prediction approach

Yong

Zheng

et al. 2018

J. Mod. Power Syst. Clean Energy

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Wind power curtailment is of great importance with the increase of large-scale wind power connected to the grid. A new concept of redundant wind power accommodated by dispatching electric water heaters (EWHs) is developed in the paper. Precise predictions of wind power and EWHs load power are the basis for this work. A hybrid multi-kernel prediction approach integrating an adaptive fruit fly optimization algorithm (AFOA) and multi-kernel relevance vector machine (MKRVM) is proposed to deal with the sample distribution of multisource heterogeneous features uncovered by an energy entropy method, where AFOA is used to determine the kernel parameters in MKRVM adaptively and avoid the arbitrariness. For the large computation of the prediction approach, parallel computation based on the Hadoop cluster is used to accelerate the calculation. Then, an economic dispatching model for accommodating wind power is built taking into account the penalty of curtailed wind power and the operating cost of EWHs. The proposed scheme is implemented in an intelligent residential district. The results show that the optimization performance of the hybrid prediction approach is superior to those of four usual optimization algorithms in this case. Regular or orderly scheduling of EWHs enables accommodation of superfluous wind power and reduces dispatch cost.

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“…One of the most famous algorithms is namely cubature Kalman filter (CKF) [15]. As a result, this algorithm is widely used in the computational intelligent learning approach of the real-world applications such as the neural network time series prediction applications [18,19,20], the neural network fitting applications [21], and especially in the neural network control system applications [22,23]. Moreover, this algorithm is also proved in term of the system stability [24,25].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid CKF-NNPID Controller for MIMO Nonlinear Control System

Sento

Kitjaidure

2017

ECTI-CIT

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This paper presents a detailed study to demonstrate the online tuning dynamic neural network PID controller to improve a joint angle position output performance of 4-joint robotic arm. The proposed controller uses a new updating weight rule model of the neural network architecture using multi-loop calculation of the fusion of the gradient algorithm with the cubature Kalman filter (CKF) which can optimize the internal predicted state of the updated weights to improve the proposed controller performances, called a Hybrid CKF-NNPID controller. To evaluate the proposed controller performances, the demonstration by the Matlab simulation program is used to implement the proposed controller that connects to the 4joint robotic arm system. In the experimental result, it shows that the proposed controller is a superior control method comparing with the other prior controllers even though the system is under the loading criteria, the proposed controller still potentially tracks the error and gives the best performances.

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Prediction of Military Vehicle’s Drawbar Pull Based on an Improved Relevance Vector Machine and Real Vehicle Tests

Cited by 5 publications

References 29 publications

Spike Device with Worm Gear Unit for Driving Wheels to Improve the Traction Performance of Compact Tractors on Grass Plots

Spike Device with Worm Gear Unit for Driving Wheels to Improve the Traction Performance of Compact Tractors on Grass Plots

Accommodation of curtailed wind power by electric water heaters based on a new hybrid prediction approach

A Hybrid CKF-NNPID Controller for MIMO Nonlinear Control System

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