Control of Hydrostatic Transmission Output Speed: Development and Comparison of PI and Hybrid Fuzzy-PI Controllers

Ambuel, Jack; Steenhoek, L.; Smith, Richard T.; Colvin, T. R.

doi:10.13031/2013.28434

Cited by 11 publications

(5 citation statements)

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“…Since a HST is highly non-linear, the application of purely linear controllers like PI is limited, leading to control methods such as pole placement, 18 fuzzy logic for antislip control, 19,20 and hybrids of fuzzy logic and PI control. 21 Huhtala 5 discussed the application of a PI controller to a hydrostatic unit (pump or motor). The gain of the PI controller was shown to strongly depend on the unit's displacement setting; gain scheduling was accomplished with fuzzy logic.…”

Section: Drivability Indexmentioning

confidence: 99%

Hydraulic power sharing on a hydrostatic transmission for a load–haul–dump for underground mines

Gosal¹,

Owen²,

Daneshmend³

et al. 2007

Mining Technology

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Hydrostatic transmissions can be used to drive mining machines when the size of the machine restricts the use of mechanical transmissions. However, hydrostatic transmissions lack a differential effect and when the machine navigates around corners there is an increase in the amount of vibration and discomfort to the operator. Thus, a method of introducing a differential effect is required. Three different approaches to generate a differential effect are presented: the application of cheater lines (hydraulic sharing between the inlets and outlets of the hydraulic pumps), power sharing (hydraulic sharing between the hydraulic displacement control), and a method of incorporating articulation angle corrections to provide the differential effect in the desired speed. The effectiveness of a proportional-integral (PI) controller is also considered for comparison. This work found that cheater lines performed better than power sharing and performed similar to methods where the wheel speeds are adjusted based on the articulation angle of the machine.

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Section: Drivability Indexmentioning

confidence: 99%

Hydraulic power sharing on a hydrostatic transmission for a load–haul–dump for underground mines

Gosal¹,

Owen²,

Daneshmend³

et al. 2007

Mining Technology

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show abstract

“…The feedback gains have usually been tuned manually since it is almost impossible to determine them theoretically because of high nonlinearity of the systems and the uncertainty in system modeling (1), (2) . Several control strategies including fuzzy-PI, self tuning and model reference adaptive control have been developed for the control of variable displacement hydraulic motor systems (3) - (5) . However, fuzzy-PI control algorithm has the difficulty in the optimal gain tuning of design parameters of fuzzy rules and adaptive control scheme together with parameter identification using recursive least-square method don't generally work well for systems with abrupt parameter changes, and often requires a large amount of real time computation.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Double Loop Control Parameters for a Variable Displacement Hydraulic Motor by Genetic Algorithms

Ahn¹,

Hyun

2005

JSME Int. J., Ser. C

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The optimization of control gains for hydraulic servo systems is very difficult because of the high nonlinearities and uncertainties in the systems. In this paper, genetic algorithm is adopted to optimize the feedback gains for an over-centered variable displacement hydraulic motor (VDHM). The reciprocal of the ITAE criterion is proposed as the fitness function that evaluates the control performance. The appropriate specification of the genetic algorithms and the search range of each control gain for the speed control system are presented. It is found that the near-optimal values of the feedback gains can be obtained within 10 generations, which corresponds to about 100 experiments. The optimal gains are also obtained when the inertia or the supply pressure is varied. Optimized feedback gains are confirmed by plotting the fitness function in a given gain space and it was verified that the genetic algorithm is an efficient scheme in optimizing feedback gains for hydraulic servo systems.

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“…The soybean plant shape evaluation program described in thispaper was a modified version of a fiiz^ logic expert system yield model (Ambuel 1993). For the details of that program, implemented in a spreadsheet, the reader is referred to the paper discussing the yield model (Ambuel).…”

Section: Fuzzy Logic Expert Systemsmentioning

confidence: 99%

“…Determination of Ranges: The third step in the program development was the assignment of fiizzy ranges to each of the selected variables. For the program developed for this application, the structure used was identical to that used in the fiizzy logic exjpevt system yield model (Ambuel 1993). In that program, as described above, simple overlapping triangle fimctions were used to represent membership functions for each variable.…”

Section: Selection Of Image Variablesmentioning

confidence: 99%

“…Fuzzy logic was developed by as an alternative method for analyzing complex biological and social science systems. However, the greatest applications of liizzy logic to date have been in the control of industrial processes and the operation of consumer products Lee, 1990aLee, , 1990bAmbuel et al, 1993;Kosko and Isaka, 1993;). Fuzzy logic expert systems have their foundation in fiizzy set theory.…”

Section: Concepts Of Fuzzv Logicmentioning

confidence: 99%

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Knowledge and decision support for variable rate application of materials in prescription farming

Ambuel

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Control of Hydrostatic Transmission Output Speed: Development and Comparison of PI and Hybrid Fuzzy-PI Controllers

Cited by 11 publications

References 0 publications

Hydraulic power sharing on a hydrostatic transmission for a load–haul–dump for underground mines

Hydraulic power sharing on a hydrostatic transmission for a load–haul–dump for underground mines

Optimization of Double Loop Control Parameters for a Variable Displacement Hydraulic Motor by Genetic Algorithms

Knowledge and decision support for variable rate application of materials in prescription farming

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