Zude Zhou

Wuhan University of Technology, Wu-han-shih, Hubei, China

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Publications (102)74.81 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: Multi-degrees of freedom (DOF) parallel robot, due to its compact structure and high operation accuracy, is a promising candidate for medical rehabilitation devices. However, its controllability relating to the nonlinear characteristics challenges its interaction with human subjects during the rehabilitation process. In this paper, we investigated the control of a parallel robot system using fuzzy sliding mode control (FSMC) for constructing a simple controller in practical rehabilitation, where a fuzzy logic system was used as the additional compensator to the sliding mode controller (SMC) for performance enhancement and chattering elimination. The system stability is guaranteed by the Lyapunov stability theorem. Experiments were conducted on a lower limb rehabilitation robot, which was built based on kinematics and dynamics analysis of the 6-DOF Stewart platform. The experimental results showed that the position tracking precision of the proposed FSMC is sufficient in practical applications, while the velocity chattering had been effectively reduced in comparison with the conventional FSMC with parameters tuned by fuzzy systems.
    International Journal of Humanoid Robotics 04/2014; 11(01). · 0.37 Impact Factor
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    ABSTRACT: A non-contact vibration sensor based on fiber Bragg grating (FBG) sensing has been proposed and studied in this paper. The principle of the sensor as well as simulation and experimental analyses are introduced. When the distance between the movable head and the measured shaft changed, the diaphragm deformed under magnetic coupling of the permanent magnet on the measured magnetic shaft. As a result, the center wavelength of the FBG connected to the diaphragm changed, based on which the vibration displacement of the rotating shaft could be obtained. Experimental results show that the resonant frequency of the sensor is about 1500 Hz and the working band ranges within 0-1300 Hz, which is consistent with the simulation analysis result; the sensitivity is -1.694 pm/μm and the linearity is 2.92% within a range of 2-2.4 mm. It can be used to conduct non-contact measurement on the vibration of the rotating shaft system.
    The Review of scientific instruments 01/2014; 85(1):015002. · 1.52 Impact Factor
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    ABSTRACT: ‘Customer requirements’ CRs management plays an important role in enterprise systems ESs by processing customer-focused information. Quality function deployment QFD is one of the main CRs analysis methods. Because CR weights are crucial for the input of QFD, we developed a method for determining CR weights based on trapezoidal fuzzy membership function TFMF and 2-tuple linguistic representation TLR. To improve the accuracy of CR weights, we propose to apply TFMF to describe CR weights so that they can be appropriately represented. Because the fuzzy logic is not capable of aggregating information without loss, TLR model is adopted as well. We first describe the basic concepts of TFMF and TLR and then introduce an approach to compute CR weights. Finally, an example is provided to explain and verify the proposed method.
    Enterprise Information Systems 11/2013; 7(4):569-580. · 9.26 Impact Factor
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    ABSTRACT: ‘Customer requirements’ CRs management is a key component of customer relationship management CRM. By processing customer-focused information, CRs management plays an important role in enterprise systems ESs. Although two main CRs analysis methods, quality function deployment QFD and Kano model, have been applied to many fields by many enterprises in the past several decades, the limitations such as complex processes and operations make them unsuitable for online businesses among small-and medium-sized enterprises SMEs. Currently, most SMEs do not have the resources to implement QFD or Kano model. In this article, we propose a method named customer requirement information CRI, which provides a simpler and easier way for SMEs to run CRs analysis. The proposed method analyses CRs from the perspective of information and applies mathematical methods to the analysis process. A detailed description of CRI's acquisition, classification and processing is provided.
    Enterprise Information Systems 11/2013; 7(4):543-557. · 9.26 Impact Factor
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    ABSTRACT: The change of spindle temperature field is an important factor which influences machining precision. Many methods of spindle temperature field measurement have been proposed. However, most of the methods are based on the electric temperature sensors. There exist some defects (e.g., anti-interference, multiplexing, and stability capacity are poor). To increase the temperature sensitivity and reduce strain sensitivity of the bare Fiber Bragg Grating (FBG) sensor, a cassette packaged FBG sensor is proposed to measure spindle temperature field. The temperature characteristics of the packaged FBG sensor are studied by comparative experiment with traditional thermal resistor sensor. The experimental results show that the packaged FBG sensor has the same capacity of temperature measurement with the thermal resistor sensor but with more remarkable antiinterference. In the further measurement experiment of the temperature field, a spindle nonuniform temperature field is acquired by the calibrated FBG sensors. It indicates that the packaged FBG sensor can be used to measure the temperature field for the spindle of machine tool.
    Advances in Mechanical Engineering 09/2013; 2013. · 1.06 Impact Factor
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    ABSTRACT: Due to the advantages of its compact structure and high operation accuracy, the six degrees of freedom (6-DOF) parallel platform has been widely used as a carrier of medical rehabilitation devices. Fuzzy adaptive algorithm does not depend on the mathematical model of controlled object, which possesses good nonlinear characteristics. Those entire features make it an effective method to control such complex and coupling platforms. To facilitate the application of robotics in lower limb rehabilitation fields, a robotic system in practical environment was established based on kinematics modeling of the 6-DOF Stewart-based platform. In order to improve the velocity tracking accuracy, this paper proposed a closed-loop control strategy based on fuzzy adaptive algorithm. The velocity feedback information was utilized to modify the PID parameters adaptively in realtime through fuzzy inference units. Several experiments in practical environment were conducted, and the results demonstrated that the proposed algorithm could effectively reduce the speed jitter, enhance the position and velocity tracking precision of the robot, and the reliability and robustness of the system could also be ensured.
    Advances in Mechanical Engineering 07/2013; 2013. · 1.06 Impact Factor
  • Quan Liu, Fen Chen, Zude Zhou, Qin Wei
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    ABSTRACT: Rolling bearing is widely used in rotating mechanical system, and its operating state has great influence on accuracy, reliability, and the life of the whole mechanical system. Therefore, fault diagnosis of rolling bearing is indispensible for the health monitoring in rotating machinery system. Wavelet package transform (WPT) and envelope demodulation have been common methods in diagnosis of bearing fault, but the precision of diagnostic results is limited by the degree of damages on bearing. In this paper, a method based on WPT and ensemble empirical mode decomposition (EEMD) is proposed to detect the fault of rolling bearing and solve this problem. According to simulation and experimental results, it is effective in fault diagnosis of rolling bearing and is better than the method based on WPT and envelope spectrum while the faults get more serious.
    Advances in Mechanical Engineering 07/2013; 2013. · 1.06 Impact Factor
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    ABSTRACT: A fiber Bragg grating-based accelerometer with a fully metalized package is presented. Magnetron sputtering and electroplating techneques are successively adopted to metalize bare SiO2 fiber with a single Bragg grating. Laser welding techneque is adopted to fix the metal-coated fiber on the sensor component to obtain a fully metallized package without adhesives. Vibration test results demonstrate that the accelerometer has a flat frequency response over a 1-kHz bandwidth, with a resonance frequency of 3.6 kHz, wide linear measurement range of up to 8 g, and sensitivity of 1.7 pm/g.
    Chinese Optics Letters 07/2013; 11(7). · 1.07 Impact Factor
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    ABSTRACT: The fiber Bragg grating (FBG) technology has been rapidly applied in the sensing technology field. In this paper, an FBG pressure sensor is designed and implemented to detect the leakage of prestressed concrete cylinder pipe (PCCP). The pressure sensor is mainly based on a Bourdon tube with two FBGs bonded on its outside and inside surfaces, respectively. The measurement principle and simulation analysis results are described. The wavelength shift difference of the two FBGs is utilized as a pressure sensing signal, the sensitivity is enhanced, and the temperature cross-sensitivity is compensated. Experimental results indicate that the measurement sensitivity is 1.414 pm/kPa in a range from 0 to 1 MPa, and the correlative coefficient reaches 99.949%. This kind of pressure sensor is effective to quasi-distributed measure and online monitor pressure of gas or liquid in industry and manufacture fields.
    Advances in Mechanical Engineering 06/2013; 2013. · 1.06 Impact Factor
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    ABSTRACT: A fiber Bragg grating (FBG) tension sensor for anchor rope has been proposed and implemented in the full-scale impact test of rockfall protection barriers in this paper. According to the measurement principle of the tension sensor, the wavelength shift difference of the two FBGs which, respectively, measure the positive and negative strain in the spring element is utilized as sensing signal. Therefore, the force sensitivity is increased and the temperature cross-sensitivity is compensated. Experimental results indicate that the measurement sensitivity is 14.85 pm/kN in a range from 0 to 150 kN. The dynamic forces on anchor ropes in barriers have been clearly recorded by the designed sensors during the impact test, and the variation of the impact forces could be mainly divided into three stages. This kind of tension sensor is expected to be widely used for force's quasi-distributed measurement or remote monitoring in industrial and mechanical fields.
    Advances in Mechanical Engineering 06/2013; 2013. · 1.06 Impact Factor
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    ABSTRACT: Active vibration isolation technology has been widely used to reduce vibration transmission in many different engineering systems. Magnetic suspension isolator (MSI), as an active isolation actuator, has shown advantages including non‐contact, high response frequency, high reliability and long life‐span. However, its potential has not been fully explored due to the nonlinear and hysteretic behavior in a dynamic environment, and there is limited research work in the area. This paper proposes a new artificial neural network (ANN)‐based approach to model the dynamics of MSI. A modified genetic algorithm (MGA) is developed to train the ANN to improve the model accuracy. Results clearly show that the ANN model with the MGA approach outperforms the back propagation (BP) approach and the analytic method based on the least squares fitting method.
    Journal of Vibration and Control 04/2013; 19(6):847-856. · 4.36 Impact Factor
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    ABSTRACT: A diaphragm-type fiber Bragg grating (FBG) pressure sensor with two bare FBGs directly bonded on a circular diaphragm along the radial direction has been proposed and studied. Measurement principle and simulation analysis of the pressure sensor are introduced. Using the wavelength shift difference of the two FBGs which respectively measure the positive and negative strain as sensing signal, the pressure sensitivity is increased and the temperature cross-sensitivity is compensated. Experimental results indicate that the measurement sensitivity is 1.57 pm/kPa in a range from 0 to 1 MPa, the correlative coefficient reaches 99.996%, and the temperature compensation performance is distinct. This kind of pressure sensor could be used to measure and monitor the static/dynamic pressure of gas or liquid.
    Measurement. 04/2013; 46(3):1041–1046.
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    ABSTRACT: Multiple Degrees of Freedom (DOF) parallel robots possess the advantages of being compact structure, great stiffness, stability and high accuracy, so such platforms have been widely used in application areas as diverse as the spacecraft motion simulators, radio telescopes, and medical rehabilitation devices. In this paper, after giving a brief review on the control strategies for parallel robot, a 6-DOF robot system for medical purposes based on simulation as well as real environment is established. In order to improve the position tracking accuracy for such objects with time-varying and nonlinear parameters, a practical fuzzy adaptive controller is designed based on the kinematics of parallel platform, where fuzzy inference units are utilized to modify the PID parameters in real-time by using the position feedback from the robot actuators. Finally, both virtual and actual experiment results demonstrate that the proposed algorithm is able to effectively reduce the position tracking errors compared with the traditional PID controller, and the reliability and feasibility of such parallel robotic system can also be guaranteed.
    Applied Mechanics and Materials. 02/2013; 347-350.
  • Ping Ren, Zude Zhou, Quan Liu
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    ABSTRACT: In the MS/TP network, token is passed according to the address of master station. A novel token passing algorithm was proposed based on the characteristics of MS/TP network frame distribution and the requirements of real-time performance. The algorithm adopts distributed control method, which can adjust the token passing order dynamically according to the frame distribution of every master station in the MS/TP network, change the number of frames a master station can send when holding token adaptively and the network bandwidth every master station occupied to reduce the token passing times on the logical ring. OPNET simulation results show that the algorithm has reduced the average service delay, decreased the frame lost, enhanced the network real-time performance and increased the network throughput. It is better than the order token passing algorithm, and has some inspiration for researching other token ring networks.
    International Journal of Computational Intelligence Systems 03/2012; 4(5):910-920. · 1.47 Impact Factor
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    ABSTRACT: Multi-agent-based proactive–reactive scheduling for job shops is presented, aiming to hedge against the uncertainties of dynamic manufacturing environments. This scheduling mechanism consists of two stages, including proactive scheduling stage and reactive scheduling stage. In the proactive scheduling stage, the objective is to generate a robust predictive schedule against known uncertainties; in the reactive scheduling stage, the objective is to dynamically rectify the predictive schedule to adapt to unknown uncertainties, viz. the reactive scheduling stage is actually complementary to the proactive scheduling stage. A stochastic model is presented, which concerns uncertain processing times in proactive scheduling stage on the basis of analyzing the deficiencies of a classical scheduling model for a production schedule in practice. For the stochastic scheduling problem, a multi-agent-based architecture is proposed and a distributed scheduling algorithm is used to solve this stochastic problem. Finally, the repair strategies are introduced to maintain the original proactive schedule when unexpected events occur. Case study examples show that this scheduling mechanism generates more robust schedules than the classical scheduling mechanism.
    International Journal of Advanced Manufacturing Technology 01/2012; · 1.78 Impact Factor
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    ABSTRACT: Due to the continuous growth in the application of networks in manufacturing, quality of service (QoS) has become an important issue. In this paper, the concept of QoS for manufacturing networks is discussed. To provide overall performance assurance for manufacturing networks, a service framework integrating the QoS mechanisms of the networked resource service management function and the communication networks is proposed. The novel framework maps an application to resource services and then to communication networks, adopts an intelligent optimisation algorithm for QoS management of resource services, and provides QoS schemes for data transfer across communication networks. A prototype implementation has been realised and a set of simulation experiments conducted to evaluate the validity of the framework. The results obtained demonstrate the ability of the framework to satisfy the various performance requirements posed by such applications and provide efficient overall performance assurance for manufacturing networks.
    International Journal of Advanced Manufacturing Technology 01/2012; 63(9-12). · 1.78 Impact Factor
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    ABSTRACT: In this paper, a novel and accurate real-time non-uniform rational B-spline curve interpolation algorithm is proposed. This algorithm not only considers chord errors, feedrate fluctuations, jerk-limited, and acceleration/deceleration (Acc/Dec) capabilities of the machine, but also optimizes the look-ahead process. In the meanwhile, it improves machining efficiency by adding the circular buffer and pre-interpolation (non-off-line) and enhances the real-time performance by removing the time-consuming calculation from the interrupt service routine. Furthermore, the proposed interpolation algorithm can interpolate both the long spline and the short spline with uniform method. The advantages of the proposed method were confirmed by the simulation results.
    International Journal of Advanced Manufacturing Technology 01/2012; 63(9-12). · 1.78 Impact Factor
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    ABSTRACT: The cutting forces generated in metal cutting have a direct influence on tool wear or failure, quality of machined surface and accuracy of the work piece. In this paper, a turning dynamometer that can measure static and dynamic cutting forces has been designed and constructed, we put Fiber Bragg Grating sensor into cutting force. In order to reduce interference of the test data, we designed an octagonal ring as sensitive element. We used strain gauges and Fiber Bragg Grating sensor to detect surface strain of the elastic rings and get different sensor's data. Contrast the data to optimization the fiber grating mounted places. Finally, experiments with different sensors to show that the Fiber Bragg Grating sensor could be used reliably to measure cutting forces.
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on; 01/2012
  • Quan Liu, Ping Ren, Zude Zhou
    JCP. 12/2011; 6:2582-2589.
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    ABSTRACT: The embedded technology as a technological fundament plays an important role in the intelligent monitoring and diagnosis for modern mechanical equipment (MME). The fiber Bragg grating sensor (FBGS) technology has been rapidly applied to most of the industrial and mechanical engineering fields in recent years. This paper focuses on the new principle and new method of intelligent monitoring and diagnosis system for MME based on the integration of embedded technology and FBGS technology. According to the principle of embedded technology, the embedded network and fieldbus gateway for the integration of monitoring and diagnosis system are investigated, and the embedded high-speed demodulation is studied. Based on FBGS, the new embedded sensor for online state monitoring of MME is introduced. Moreover, the embedded sensing signal processing and data transmission, which can meet the requirements of multi-parameter measurement, synchronous sampling and long-term intelligent monitoring for MME, are proposed. In addition, by integrating the FBGS technology and embedded technology, the embedded integration system of intelligent monitoring and diagnosis for MME is presented.
    Measurement 11/2011; 44(9):1499-1511. · 1.13 Impact Factor

Publication Stats

242 Citations
74.81 Total Impact Points

Institutions

  • 2004–2014
    • Wuhan University of Technology
      Wu-han-shih, Hubei, China
  • 2008
    • Cardiff University
      • School of Engineering
      Cardiff, Wales, United Kingdom
  • 2007–2008
    • Huazhong University of Science and Technology
      • • State Engineering Research Center of Numerical Control System
      • • School of Mechanical Science and Engineering
      Wuhan, Hubei, China