Cross-coupled fuzzy logic control for multiaxis machine tools

The main steam Pressure is one of the most important guidelines on Circulating Fluidized Bed Boiler (CFBB) operation quality and an important part in control system of CFBB. However, It is very difficult to establish the exact mathematical models of controlled objects because the combustion system of circulating fluidized bed boiler is an object that has many features: distributed parameters, nonlinear, time-varying and long time-delaying. it is unfavorable to control it with traditional controller. Therefore , In this paper fuzzy controller is used in controlling main vapor pressure systems of CFBB, and the fuzzy cascade control system is designed. In computer simulation, the fuzzy cascade control system exert stably, and has perfect control effect to main vapor pressure systems of CFBB.

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“…µ respectively [6]. In this design, the fuzzy control system of the main steam pressure adopts the two-dimensional structure.…”

Section: Formulation and Design Of Fuzzy Controllermentioning

confidence: 99%

The Study on the Fuzzy Control Algorithm for Main Steam Pressure Control of Circulated Fluidized Bed Boiler

Wang

Han

Wang

2011

AMR

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“…Some modified CCCs were proposed for multi-axis machine tools to control feed rate of a servomechanism. [12][13][14] Aforementioned control methods require controlled plants with all known parameters to develop modelbased controllers. Generally, several practical systems have nonlinear characteristics and difficult-to-measure parameters.…”

Section: Introductionmentioning

confidence: 99%

Cross-coupling synchronous velocity control using model reference adaptive control scheme in an unsymmetrical biaxial winding system

Nguyen

Duong

Kim

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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Motion control with high accuracy for each axial system is the fundamental requirement to reduce a synchronous motion error of a multi-axis system. Especially, designing a model-based controller for an uncertainty system with unknown parameters is not easy without using system identification. To overcome the mentioned issue, this article proposes a cross-coupling synchronous velocity controller using a backstepping-based model reference adaptive control scheme in an unsymmetrical biaxial winding system called a transformer winding system. The proposed controller deals not only with the uncertainty but also with the recursive structure of the system. The backstepping technique for the recursive structural system and the model reference adaptive control method for the uncertainty of the system are designed to stabilize two axial systems with unknown parameters. An auxiliary system is added to build the proposed controller for coping with input constraints of physical actuators. To improve the proposed controller's ability to cope with external disturbances, a dead-zone modification is utilized to modify the adaptation laws to avoid the drift phenomenon. Moreover, a cross-coupling mechanism is integrated into the proposed controller to reduce the synchronous velocity error between the velocities of the biaxial winding system. The proposed controller is also transformed into discrete time to be run on a digital signal processor alone chip. The experimental results are shown to verify the high performance and efficiency of the proposed controller for practical applications.

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“…In addition, even if the tracking performance of each individual axis can be significantly improved by the methods above, good overall control performance for the multi-axis machine tool can not be guaranteed. To effectively reduce the contour error, cross-coupling controller (CCC) [10] was developed and also some improvement measures are proposed [11][12][13][14][15] The crosscoupling controller consists of a real-time calculation of the contour error and a control law for eliminating the contour error. Nevertheless, it is hard to calculate the real time contour errors of different radius arc and free-form contour (or surface).…”

Section: Introductionmentioning

confidence: 99%

An error compensation method for multi-axis machining based on the actual contour measurement

Cao

Zhao

et al. 2011

2011 IEEE International Symposium on Assembly and Manufacturing (ISAM)

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With the application of compensation for geometric error and thermal error, static and quasi-static accuracy of machine tools are significantly improved. Whereas, the accompanied disadvantage is the increased motion control error, especially the motion control accuracy in high-speed and ultra high-speed machining. Based on the actual contour measurement and the study of different control strategies for improving contour machining accuracy, this paper proposes an error compensation method for multi-axis machining. To be specific, a contour error model with different input parameters of the machining process needs to be built, and afterwards to be implemented into an open computer numerical control (CNC) system for real time calculation and compensation. Employing a 2-aix machine tool and base on aforementioned method, circular processing experiments with feed rates ranging from 0.5m/min to 10m/min and radiuses ranging from 10mm to 60mm are performed. The range of average radius error is reduced from 0.1mm to 0.006mm. The results demonstrate that high contour accuracy can be maintained even at high speed machining.

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Cross-coupled fuzzy logic control for multiaxis machine tools

Cited by 20 publications

References 12 publications

The Study on the Fuzzy Control Algorithm for Main Steam Pressure Control of Circulated Fluidized Bed Boiler

The Study on the Fuzzy Control Algorithm for Main Steam Pressure Control of Circulated Fluidized Bed Boiler

Cross-coupling synchronous velocity control using model reference adaptive control scheme in an unsymmetrical biaxial winding system

An error compensation method for multi-axis machining based on the actual contour measurement

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