Adaptive fuzzy control system of a servomechanism for electro-discharge machining combined with ultrasonic vibration

Zhang, J.H.; Zhang, Huanshui; Su, Dan; Qin, Yi; Huo, Meng You; Zhang, Q.H.; Wang, L.

doi:10.1016/s0924-0136(02)00573-3

Cited by 34 publications

(17 citation statements)

References 2 publications

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“…Fuzzy logic control for conventional machining processes has been studied [15,16] and is more popular in EDM research because it has faster response and higher stability [17] and can more accurately model realworld events by allowing the existence of uncertainty to simulate human reasoning [18]. The fuzzy logic controller [19][20][21][22][23][24] has demonstrated the capability to adaptively control the EDM process by handling highly nonlinear processes with only qualitative knowledge [18,25] and reduce the drilling time by minimizing the arc and short circuit pulses [6]. In this study, fuzzy logic control of the micro-hole EDM process is investigated.…”

Section: Introductionmentioning

confidence: 99%

“…The lack of information and limitations of the single-input fuzzy logic controller have been studied [26]. Two-input fuzzy logic controllers have been investigated using the error of the gap voltage and its change rate [20], servo position error and its change rate [22], pulse time ratio error and its change rate [24], or ignition delay and percentage of abnormal discharges [19]. A three-input fuzzy logic controller for wire EDM has been developed using the spark frequency error, abnormal spark ratio error, and its change rate [21].…”

Section: Introductionmentioning

confidence: 99%

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Design and tuning of a fuzzy logic controller for micro-hole electrical discharge machining

Kao

Shih

2008

Journal of Manufacturing Processes

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and tuning of a fuzzy logic controller for micro-hole electrical discharge machining

Kao

Shih

2008

Journal of Manufacturing Processes

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“…Many software computing techniques such as fuzzy logic, neural networks and genetic algorithms have been developed for attempting to mimic the human reasoning to solve engineering and industrial problems successfully [12], [13], [14]. The FLC consists of mainly three basic components, namely the Fuzzification, Fuzzy Engine (rule-base) and Defuzzification.…”

Section: Design Of the Fuzzy Expert Systemmentioning

confidence: 99%

Fuel flow control through a fuzzy servomechanism: a comparative analysis

Castaño

Rangel-Miranda²,

Alaníz-Lumbreras

et al. 2014

IJET

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The evaluation of a fuzzy expert positioning servomechanism that was applied for controlling fuel flow in an experimental process is presented. Since the conventional control techniques are not sufficient to implement nonlinear control systems, a successful control technique based on human experience was used. A comparative study was made by both Fuzzy Logic Control (FLC) and Proportional Integral Derivative (PID) control algorithms. Fuzzy Logic and PID controllers were designed in Lab view program. The real-time position control which consists of a DC motor into a servomechanism was implemented by using a digital acquisition device (DAQ). The experimental results show that step response and semicircular trajectory on the position servomechanism for controlling fuel using FLC, had a better performance than those derived from PID control scheme.

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“…Still skilled machine operators are required to handle the EDM. Researchers [84,85,86,87] combine the different technique (fuzzy, ultrasonic vibration, pulse generator and servo feed control system) in adaptive controller for improvement of machine efficiency (MRR). Hayakawa et.…”

Section: Because Of Poor Flushing Condition Debris Creates An Arcing mentioning

confidence: 99%

A Brief Review of Die Sinking Electrical Discharging Machining Process towards Automation

Pawade¹,

Banwait²

2013

AJME

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Electrical Discharge Machine (EDM) is especially used for the manufacturing of 3-D complex geometry and hard material parts that are extremely difficult-to-machine by conventional machining processes. In this paper authors have reviewed the research work carried out in the development of die-sinking EDM within the past decades for the improvement of machining characteristics such as Material Removal Rate (MRR), Surface Roughness (SR) and Tool Wear Ratio (TWR). In this review various techniques reported by EDM researchers for improving the machining characteristics have been categorized as process parameters optimization, multi spark technique, powder mixed EDM, servo control system and pulse discriminating. At the end, flexible machine controller is suggested for Die Sinking EDM to enhance the machining characteristics and to achieve high-level automation. Thus, die sinking EDM can be integrated with Computer Integrated Manufacturing (CIM) environment as a need of agile manufacturing systems.

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Adaptive fuzzy control system of a servomechanism for electro-discharge machining combined with ultrasonic vibration

Cited by 34 publications

References 2 publications

Design and tuning of a fuzzy logic controller for micro-hole electrical discharge machining

Design and tuning of a fuzzy logic controller for micro-hole electrical discharge machining

Fuel flow control through a fuzzy servomechanism: a comparative analysis

A Brief Review of Die Sinking Electrical Discharging Machining Process towards Automation

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