A Dynamic Fuzzy Neural Networks Controller for Dynamic Load Simulator

Guo, Ben; Wang, Mingyan; Zhang, Jian

doi:10.1109/icmlc.2006.259042

Cited by 32 publications

(42 citation statements)

References 4 publications

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“…Comparing with the electro-hydraulic loading simulator and mechanical torsion bar loader, EDLS has attracted more attention and an increasing number of researches are focused on it, due to its advantages of small volume, good control performance and achieving any torque function [2]. The additional output torque caused by the motion of loaded actuator is called redundancy torque [3]. It has been a difficult problem how to overcome redundancy torque in loading control.…”

Section: Introductionmentioning

confidence: 99%

“…It has been a difficult problem how to overcome redundancy torque in loading control. The control strategies, including the intelligent control method and the traditional control theory were introduced to EDLS, to restrain redundancy torque on software [3] - [7]. But complex arithmetic prolongs control periods, and the bandwidth of system is restricted.…”

Section: Introductionmentioning

confidence: 99%

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Simulation analysis of a new electric dynamic load simulator based on double-stator permanent-magnet synchronous motor

Wang

2012

Proceedings of the 7th International Power Electronics and Motion Control Conference

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In order to increase the bandwidth of a electric dynamic load simulator and restrain redundancy torque acting on rudder, parallel double stator permanent magnet synchronous motor is used as the execution device of the electric dynamic load simulator. In this method, one stator is used to track the position of the rudder and keep the relative position to the rudder consistent within expectation, by means of position closed-loop control; the other stator is used to track load torque by means of torque closed-loop control. Two stators independently implement position tracking and torque servo control. Based on the method of current decoupling, the load torque bandwidth achieved by the system and the rejection ratio of redundancy torque are theoretically obtained in synchronous rotating reference coordinate. Simulation results verify the validity of the theoretical analysis and the feasibility of the method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation analysis of a new electric dynamic load simulator based on double-stator permanent-magnet synchronous motor

Wang

2012

Proceedings of the 7th International Power Electronics and Motion Control Conference

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“…EDLS is required of high rapid response and good accuracy, because it must exert load torque on the equipment under test while tracking down its motion [2]. The control strategies, including the intelligent control method and the traditional control theory were introduced to EDLS, [3] - [7]. Usually EDLS is used to simulate load torque while mechanical test is executed by mechanical inertia block, because the structure and control strategies of single stator make it difficult to achieve two different functions and evaluate the system performance.…”

Section: Introductionmentioning

confidence: 99%

Load torque and inertia simulation based on double-stator permanent-magnet synchronous motor

Wang

Guo

et al. 2014

2014 International Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE ASIA)

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A novel structure using dual-stator motor is proposed and the corresponding controller is designed. Two stators execute independently based on the method of torque decoupling control, in which one stator is used to simulate the load torque in expectation; the other stator is used to provide inertia moment. In this paper, an adaptive disturbance observer is presented to acquire acceleration information and derives inertia moment to be simulated, in which a simple adaptive scheme is derived using Popov ' s hyperstability theory. The control performance of the system is analyzed. Simulation and experiment results verify the validity of the theoretical analysis and the feasibility of the method. 1

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“…Moreover, in the dynamic loading process, there are some unknown perturbations, meaning that the control performances such as the stability, the frequency response, or loading sensitivity will decrease or become bad. To solve the problem of how to eliminate or reduce the disturbance at a large scale, which is essential to improve the force/position control performance, several control strategies have been proposed [6][7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Self-tuning quantitative feedback theory for parallel force/position control of electro-hydrostatic actuators

Truong

Ahn

2009

Proceedings of the Institution of Mechanical Engineers, Part I:

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Hydraulic power systems and actuators play an important role in modern industry because they have many advantages over other technologies with electric motors, high durability, and the ability to produce large force at high speeds. In order to improve the control performance of electro-hydrostatic actuators, the aim of this paper is to propose a novel parallel control strategy based on the self-tuning quantitative feedback theory (STQFT) technique and then applying it to control force and position of a new kind of hydraulic experimental system -the electro-hydrostatic load simulator (EHLS). The EHLS is very useful to test the force or/and position control of electro-hydrostatic actuators (EHAs). The STQFT controller is designed to satisfy the robust criterions based on the QFT technique. Then the parameters of the STQFT force and position controller are automatically tuned online to minimize the system error by using the gradient descent method and speed up convergence. Consequently, the EHLS using the novel controller is able to obtain the force and position control performance with high precision in a wide range of working conditions including perturbations. Experiments are carried out to evaluate the effectiveness of the proposed parallel force and position control method applied to the EHLS system.

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A Dynamic Fuzzy Neural Networks Controller for Dynamic Load Simulator

Cited by 32 publications

References 4 publications

Simulation analysis of a new electric dynamic load simulator based on double-stator permanent-magnet synchronous motor

Simulation analysis of a new electric dynamic load simulator based on double-stator permanent-magnet synchronous motor

Load torque and inertia simulation based on double-stator permanent-magnet synchronous motor

Self-tuning quantitative feedback theory for parallel force/position control of electro-hydrostatic actuators

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