Design and Simulation of Space Pose Controller for Mine-Used Bolter Manipulator Based on Fractional Order Algorithm

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Abstract:

In this paper, two kinds of spatial position and attitude controllers based on fractional order algorithm and algorithm are designed. Based on the basic assumptions, the model is established and the control of the spatial positioning of the manipulator is studied. The control effects of traditional controller and fractional order controller are analyzed and compared by numerical simulation method. At the same time, the effects of parameters and of fractional order controller and controller on system performance are simulated and analyzed. The results show that the fractional order controller has faster and better robustness than the traditional controller. The research of fractional order controller has become a new method to predict the space trajectory tracking and positioning of the manipulator and to ensure the positioning accuracy of the manipulator.

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20-26

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July 2020

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[1] Ang K.H., Chong G., Li Y., PID control system analysis, design, and technology, IEEE Transactions on Control Systems Technology, 13 (4) (2005), pp.559-576.

DOI: 10.1109/tcst.2005.847331

Google Scholar

[2] Åström K.J., Hägglund T., The future of PID controls: Control Engineering Practice, 9 (11) (2001), pp.1163-1175.

DOI: 10.1016/s0967-0661(01)00062-4

Google Scholar

[3] Rivera D.E., Morari M., Skogestad S., Internal model control: PID controller design, Industrial & Engineering Chemistry Process Design & Development, 25 (1) (1986), pp.2163-2163.

DOI: 10.1021/i200032a041

Google Scholar

[4] Wu Liming, Speech signal and MCU processing, Beijing: Science Press (2007).

Google Scholar

[5] Deller John R., Proakis John G., Hansen John H.L., Discrete-Time Process Processing of Speech Signals: Macmillan Publishing Company (1993).

Google Scholar

[6] Yang jiuhong, wang xiaozeng, Computer measurement and control of temperature control system of resistance furnace with integral separation PID algorithm , 20(1) (2012).

Google Scholar

[7] Ge L.I., Jia Y., Zhang H., Application of integral-separation PID control algorithm in PLC-based tension control system: Journal of Textile Research, 29 (8) (2008), pp.109-112.

Google Scholar

[8] Lin R., Yang F., Qiu G., The Neuron Controller Based on Integral Separation PID Control Algorithm, Process Automation Instrumentation (2004).

Google Scholar

[9] Chen H.Z., Research of Compress Anti-Surge Based on the Integral Separation PID Algorithm, Advanced Materials Research. Trans Tech Publications, 189 (2011), pp.567-570.

DOI: 10.4028/www.scientific.net/amr.189-193.567

Google Scholar

[10] Zhang Zhimei, Cheng Liying, Zhao Heng, Wu Haiyuan, Based on the fuzzy PID control algorithm seeing-eye robot research, journal of Shenyang Normal University (natural science edition) in January, 33 (1) (2015).

Google Scholar

[11] Sahu B.K., Pati S., Mohanty P.K., Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system, Applied Soft Computing, 27(C) (2015), pp.240-249.

DOI: 10.1016/j.asoc.2014.11.027

Google Scholar

[12] Wang Y.F., Design and research of time optimal fuzzy-PID control algorithm, Electric Machines& Control, 8(4) (2004), pp.366-365.

Google Scholar

[13] Liu L., Luo J., Research of PID Control Algorithm Based on Neural Network, Energy Procedia, 13 (2011), pp.6988-6993.

Google Scholar

[14] Jahedi G., Ardehali M.M., Genetic algorithm-based fuzzy-PID control methodologies for enhancement of energy efficiency of a dynamic energy system, Energy Conversion & Management, 52(1) (2011), pp.725-732.

DOI: 10.1016/j.enconman.2010.07.051

Google Scholar

[15] Zhao J., Han L., Wang L., The fuzzy PID control optimized by genetic algorithm for trajectory tracking of robot arm, Intelligent Control and Automation, IEEE (2016), pp.556-559.

DOI: 10.1109/wcica.2016.7578443

Google Scholar

[16] Nian-Xiang Wu, Research on optimization of tracking control strategy of moving robot based on fuzzy PID control algorithm, Journal of Xinyu University (2016).

Google Scholar

[17] Yu Lianzhi, Cheng gazelle, Fractional order PID control applied to excitation control system [J]. Journal of Shanghai University of Technology, 35 (4) (2013), pp.404-408.

Google Scholar

[18] Liu Shun'an, Xie Dantong, Shang Tao, Control performance of distributor plate of hydraulic transformer based on fractional order PID [J]. Journal of Beijing University of Technology, 39 (10) (2013), pp.1452-1458.

Google Scholar

[19] Deng Weihua, Theoretical analysis and numerical calculation of fractional differential equations [D]. Shanghai: Shanghai University (2007).

Google Scholar

[20] Li Wen, Zhao Huimin, A rational function approximation method for fractional calculus operators [J]. Journal of Automation, 37 (8) (2001), pp.999-100.

Google Scholar