Fuzzy logic control for a parallel hybrid hydraulic excavator using genetic algorithm

Wang, Dongyun; Xiao, Lin; Zhang, Yu

doi:10.1016/j.autcon.2010.11.024

Cited by 53 publications

(29 citation statements)

References 4 publications

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“…Compared with other methods, the fuzzy control is an adaptive approach of intelligent control, which can deal with the nonlinear, complex, and sometimes mathematically intangible dynamic systems. It has been applied for a wide range [15][16][17][18][19][20][21][22]. It provides a convenient method for constructing nonlinear controllers via the use of heuristic information [23,24].…”

Section: Introductionmentioning

confidence: 99%

An Improved Fuzzy Neural Network Compound Control Scheme for Inertially Stabilized Platform for Aerial Remote Sensing Applications

Zhou

Yuan

et al. 2018

International Journal of Aerospace Engineering

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An improved fuzzy neural network (FNN)/proportion integration differentiation (PID) compound control scheme based on variable universe and back-propagation (BP) algorithms is proposed to improve the ability of disturbance rejection of a three-axis inertially stabilized platform (ISP) for aerial remote sensing applications. In the design of improved FNN/PID compound controller, the variable universe method is firstly used for the design of the fuzzy/PID compound controller; then, the BP algorithm is utilized to finely tune the controller parameters online. In this way, the desired performances with good ability of disturbance rejection and high stabilization accuracy are obtained for the aerial ISP. The simulations and experiments are, respectively, carried out to validate the improved FNN/PID compound control method. The results show that the improved FNN/PID compound control scheme has the excellent capability in disturbance rejection, by which the ISP’s stabilization accuracy under dynamic disturbance is improved significantly.

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Section: Introductionmentioning

confidence: 99%

An Improved Fuzzy Neural Network Compound Control Scheme for Inertially Stabilized Platform for Aerial Remote Sensing Applications

Zhou

Yuan

et al. 2018

International Journal of Aerospace Engineering

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“…One is series hybrid excavator, another is the parallel one, and the remaining is the split one. To get detailed information regarding the properties of all these different configurations, readers would refer to the literature [1, 2]. In summary, compared with other two, the parallel configuration is considered as the one with low cost and better performance.…”

Section: Introductionmentioning

confidence: 99%

“…The main concepts of hybrids are to keep the engine's working points located in high fuel economy range that would badly decrease the fuel consumption regardless of working condition. Wang et al did simulation research and evaluated energy saving effect in parallel hybrid excavators in 2005 and also presented a way to recover potential energy from excavators [2]. The parallel model, system dynamic analysis, rule-based control strategy, fuzzy logic control strategy, and component sizing are put forward by Wang et al [3–7].…”

Section: Introductionmentioning

confidence: 99%

“…Wang et al did simulation research and evaluated energy saving effect in parallel hybrid excavators in 2005 and also presented a way to recover potential energy from excavators [2]. The parallel model, system dynamic analysis, rule-based control strategy, fuzzy logic control strategy, and component sizing are put forward by Wang et al [3–7]. Despite of all these efforts in the field, few papers focus on the nonlinear constraints optimal control problem for PHHE.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization

Wang

Guan

2013

The Scientific World Journal

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Optimal control using particle swarm optimization (PSO) is put forward in a parallel hybrid hydraulic excavator (PHHE). A power-train mathematical model of PHHE is illustrated along with the analysis of components' parameters. Then, the optimal control problem is addressed, and PSO algorithm is introduced to deal with this nonlinear optimal problem which contains lots of inequality/equality constraints. Then, the comparisons between the optimal control and rule-based one are made, and the results show that hybrids with the optimal control would increase fuel economy. Although PSO algorithm is off-line optimization, still it would bring performance benchmark for PHHE and also help have a deep insight into hybrid excavators.

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“…In [47], fuzzy logic control is used for excavator system with the objective of better energy distribution and higher fuel economy. Teleoperated excavators have also been developed to reduce the risks of working in dangerous environments [48].…”

Section: Excavator Bucket Angle Controlmentioning

confidence: 99%

Sensitivity-based robust feedback linearizing control of hydraulically actuated system

Zhou

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Fuzzy logic control for a parallel hybrid hydraulic excavator using genetic algorithm

Cited by 53 publications

References 4 publications

An Improved Fuzzy Neural Network Compound Control Scheme for Inertially Stabilized Platform for Aerial Remote Sensing Applications

An Improved Fuzzy Neural Network Compound Control Scheme for Inertially Stabilized Platform for Aerial Remote Sensing Applications

Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization

Sensitivity-based robust feedback linearizing control of hydraulically actuated system

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