Conference Program of WCICA 2012

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Conference Program WCICA 2012 - Euler method. A real-time fault-tolerant adaptive control method was designed to achieve real-time and accurate tracking control of the aircraft when the parameters associated with the input variables suffer uncertain disturbance. Simulation of the simplified mode of the aircraft were carried out in the matlab/SIMULINK environment, which verified that the aircraft had good maneuverability and robustness which is necessary when it works in the restricted environment. ◮ SaA05-5 14:50–15:10 Stability Control of Vehicle with Tire Blowout Using Differential Flatness Based MPC Method, pp.2066–2071 Guo, Hongyan Wang, Fei Chen, Hong Guo, Dapeng Jilin Univ. Jilin Univ. Jilin Univ. FAW - Volkswagen Automotive CO., LTD In order to reduce the fatal damage of tire blowout during vehicle operation, a differential flatness based model predictive control (MPC) method is proposed. A 3 degrees of freedom (DOF) vehicle dynamics model with tire blowout is established, and then the flat outputs are given. The flatness property of the vehicle dynamics is discussed accordingly, and the MPC for the vehicle with a tire blowout stability control is formulated, where the lateral acceleration is considered as safety constraint. Simulations of vehicle with a tire blowout driving on the d- ifferent road are carried out to verify the effectiveness of the proposed method. ◮ SaA05-6 15:10–15:30 High Stabilization Control of Sensorless Brushless DC Motor On High speed, pp.2022–2026 Lv, Haotun Wu, Zhong Beihang Univ. Beijing Univ. of Aeronautics & Astronautics In the absence of position sensor, the brushless DC motor controller often used back electromotive force (EMF) zero crossing detection method to obtain the rotor position and speed during operation. Back EMF detection circuit noise and interference introduced by the PWM signal will affect the Back EMF zero-crossing detection signal, resulting in fluctuations and drift, using conventional MT solution method to extract rotor speed information can not effectively filter out interfering signals, and achieve high stability speed control. To improve speed stability control performance, accurate information to extract the rotor speed is needed as the feedback of controller. This paper designed a secondorder state observer based on the speed of detection, compared with the conventional speed demodulation algorithm can effectively filter the back EMF zero-crossing signal interference, and accurately extract the rotor speed information. Experimental results show that the speed detection using this method, can achieve high stability control of motor speed. SaA06 13:30–15:30 Room 302 Fault Diagnosis Chair: Zhang, Ke Co-Chair: Yao, Lina Nanjing Univ. of Aeronauitcs & Astronautics Zhengzhou Univ. ◮ SaA06-1 13:30–13:50 On Design of Fault Detection Filter for Nonlinear Markovian Jump Systems with Sensor Saturations, pp.2953–2958 Dong, Hongli Wang, Zidong Liang, Jinling Gao, Huijun Northeast Petroleum Univ. Tsinghua Univ. Southeast Univ. Harbin Inst. of Tech. This paper addresses the fault detection problem for discrete-time Markovian jump systems with incomplete knowledge of transition probabilities, randomly varying nonlinearities and sensor saturations. An optimized fault detection filter is designed such that 1) the fault detection dynamics is stochastically stable; 2) the effect from the exogenous disturbance on the residual is attenuated with respect to a minimized H-infinity-norm; and 3) the sensitivity of the residual to the fault is enhanced by means of a maximized H-infinity-norm. The characterization of the gains of the desired fault detection filters is derived in terms of the solution to a convex optimization problem. Finally, a simulation example is employed to show the effectiveness of the scheme proposed in this paper. ◮ SaA06-2 13:50–14:10 Reduced-Order Fault Estimation Observer Design for Discrete-Time Systems, pp.2959–2964 Zhang, Ke Jiang, Bin Shi, Peng Shumsky, Alexey Nanjing Univ. of Aeronauitcs & Astronautics Nanjing Univ. of Aeronautics & Astronautics Univ. of Glamorgan Far Eastern Federal Univ. This paper addresses the fault estimation problem for discrete-time dynamic systems. First, using a specific system decomposition, we propose a new reduced-order fault estimation observer (RFEO) with multiconstrained idea. A detailed discussion of the RFEO is given. Then, with the help of the slack-variable technique, fault estimation performances are further enhanced to reduce the conservatism generated by the direct design method. Simulation results of a discrete-time aircraft application are presented to illustrate our contributions. ◮ SaA06-3 14:10–14:30 Design and Implementation of Fault Diagnosis Expert System for Missile Circuit, pp.2977–2982 Qiu, Sihai Chen, Zengqiang Liu, Zhongxin Nankai Univ. Nankai Univ. NanKai Univ. To solve the fault diagnosis problem of relay control circuits widely used in missiles, this paper designs a rule-based fault diagnosis expert system. This system includes five modules: knowledge acquisition module, problem solving module, reasoning explaining module, interface module and management and control module. To solve the problem of knowledge acquisition known as the bottleneck of expert system, knowledge acquisition module includes a sub system which acquires rules automatically from circuit description files. As a result, knowledge resource has been enriched and the disadvantage of over dependency to expert experience, which is common in expert system, has been reduced. According to the experiment result with a relay control circuit, this system has the ability of fast and accurate reasoning and preliminary knowledge automatic acquiring. Finally, the prospect of application of this system has been briefly analyzed. ◮ SaA06-4 14:30–14:50 Fault diagnosis for non-Gaussian time-delayed stochastic distribution control system, pp.2988–2993 Yao, Lina Zhengzhou Univ. Stochastic distribution control is a new branch of stochastic system control. The two main features of this system are that the system output is the probability density function of system variables and the input is time vector in the conventional meaning. The control goal of such s- tochastic distribution systems is to choose an input to make the output probability density function track a given probability density function. Time delay is widespread in our lives, and lots of kinetic equations for practical processes contain the time delay element. The effectiveness of the fault detection and diagnosis will be reduced when time delay is not considered. In this paper, the rational square-root B-spline is used to approach the output probability density function. A fault diagnosis method based on the nonlinear adaptive observer is used to diagnose the fault. Finally computer simulations are given to demonstrate the effectiveness of the proposed algorithm. ◮ SaA06-5 14:50–15:10 Data-based Fault-tolerant Control of the Semiconductor Manufacturing Process based on K-Nearest Neighbor Nonparametric Regression, pp.3008–3012 Luo, Ming Zheng, Ying Liu, Shujie Huazhong Univ. of Sci. & Tech. Huazhong Univ. of Sci. & Tech. Huazhong Univ. of Sci. & Tech. Run-to-run (R2R) control is the most commonly method in semiconductor manufacturing process. Generally, it is based on mathematical 152
WCICA 2012 Book of Abstracts: Saturday Sessions model, but for the complexity of the practical manufacturing process, it is difficult to set up the mechanical process model. This paper presents a data-based fault tolerant approach. Taking the disturbance and the fault into account, it adopts a large amount of historical data to predict the output of the single-product and multi-products semiconductor manufacturing process by the K-nearest neighbor (K-NN) nonparametric regression method. Then fault detection is achieved and a alarm is given, furthermore the traditional exponent weight moving average (EWMA) controller is improved to achieve fault-tolerant control. The results of simulation show that the approach is effective. ◮ SaA06-6 15:10–15:30 Fault Tolerant Control for a Robust Nonlinear Robotics via Optimal H∞Controller, pp.3248–3253 AL-BAYATI, AHMAD HUSSAIN Wang, Hong THE Univ. OF MANCHESTER Manchester M60 1QD,U.K This paper presents a new optimal Fault tolerant control FTC, which includes anew optimal theorem to design a controller and new reconfiguration algorithm to reconfigure the controller law. The achieved FTC technique has been applied for Double Two Joints Inverted TJIRA robots arms which raise a plate where the weight of it distributed evenly on the two TJIRA. The study has been carried out different conditions in terms of an additive fault and a white noise as disturbance, where the angles of the two arms position have been considered. As results, Matlab simulation of a TJIRA is undertaken while CVX optimizing software is used to obtain the optimal parameters and to verify the performance of the proposed theorem. The simulation results are obtained to show the high performance of the proposed FTC technique which reflects on the speed of the arms motion to overcome on the effects of the fault and noise. SaA07 13:30–15:30 Room 303 Advanced Control Algorithms and Applications (I) Chair: Heng, Qinghai Co-Chair: WANG, Xin Beijing Information Sci. & Tech. Univ. Shanghai Jiao Tong Univ. ◮ SaA07-1 13:30–13:50 Multiple Models Direct Adaptive Controller Using Dimension-By- Dimension Technology, pp.2630–2635 WANG, Xin ZHENG, Yihui Li, Lixue Yang, Hui Shanghai Jiao Tong Univ. Shanghai Jiao Tong Univ. Shanghai Jiao Tong Univ. East China Jiaotong Univ. For a non-minimum phase system, a multiple models direct adaptive controller using Dimension-by-Dimension technology is presented. The multiple models are constituted with controller directly, which lower the calculation and avoid the ill-condition matrix solution. The multiple models are composed of multiple fixed controllers, one free-running adaptive controller and one re-initialized adaptive controller. The fixed controllers are derived utilizing system prior information directly and guaranteed to cover the whole region in which the parameter changes. To solve the problems such as too many models, long computing time and so on, Dimension-By-Dimension technology is proposed. It adopts onedimension optimization method in series instead of multiple-dimension optimization method in parallel to reduce the number of the controllers greatly. At last the global convergence is obtained. In the simulation example, when compared with the convenient multiple models adaptive controller, if the same number of the fixed models is adopted, system transient response are improved effectively. ◮ SaA07-2 13:50–14:10 Robust Control of Hydro Turbine Speed Governor, pp.2680–2684 Heng, Qinghai Lu, Jing Lu, Yang Beijing Information Sci. & Tech. Univ. Beijing Information Sci. & Tech. Univ. Beijing Information Sci. & Tech. Univ. This paper presents the design of the μrobust performance of a hydro Turbine speed governor. It can be used to solve the μrobustness problems, which can’t be done by the conventional H∞robust performance designs. High frequency oscillation and large amplitude of output and control variable of the control system are exhibited by a conventional H∞robust performance design method. It is pointed out that the design of the robust performance can be formulated as a optimization μ-synthesis method, if the uncertainty weighting function and the performance weighting function are revised appropriately. The selections of the weighting functions are studied and the optimization μ-synthesis robust PI controllers are solved. The simulation results show that the proposed method is valid. The realization of the controllers doesn’t involve extra cost to the control equipment in existence. ◮ SaA07-3 14:10–14:30 H ∞ Loop Shaping Based Low Order Structured Robust Controller Design, pp.2710–2715 ZHOU, Shiliang Liu, Yuyan North China Electric Power Univ. North China Electric Power Univ. Standard H ∞ loop shaping design has two drawbacks. The first is that it is difficult to select appropriate loop shaping weights, and the second is that the resulting controller is very complex. To resolve these two drawbacks, a low order structured robust controller design scheme is proposed. The scheme is based on fixed structure weight optimization and static H ∞ loop shaping controller synthesis. Giving control points of shaped plant singular value bounds and structure of controller, then controller with desired performance specifications and maximal robust stability margin can be derived via linear matrix inequality based iteration optimization. Third order robust controller for steam generator water level plant is designed using this method, and comparisons are made among the proposed method and other two H∞loop shaping design schemes under different control condition, including step change of level reference, step change of steam flow rate and change of operation point. Simulation results show that the control system has good control performance, and its robust stability is better than the ones designed by other two schemes. ◮ SaA07-4 14:30–14:50 Model-free Subspace-based Control Scheme for Grid-Connected Voltage Source Inverters, pp.2674–2679 Chen, Jianmin Yang, Fuwen Han, Qing-Long East China Univ. of Sci. & Tech. East China Univ. of Sci. & Tech. Central Queensland Univ., Australia In this paper, both model-free subspace-based LQG control and H- inf control schemes are used to investigate the tracking control performance and robustness of grid-connected voltage source inverters (VSIs). The proposed approaches do not require any identification or other modeling process. The controller can be directly derived from the experimental inputs/outputs measurements. Both the subspace-based LQG controller and H-inf controller are recursively designed. Simulation results show subspace-based LQG controller has a better tracking control performance than subspace-based H-inf controller, whereas, H-inf controller has stronger robustness than LQG controller. ◮ SaA07-5 14:50–15:10 Research on Global Motion Estimation Based on Adaptive SIFT Algorithm, pp.2758–2763 Zhang, Huiqing An, Jiancheng Cao, Luguang Beijing Univ. of Tech. Beijing Univ. of Tech. Beijing Univ. of Tech. Based on time redundancy in video image sequences an adaptive SIFT (Scale-invariant feature transform) algorithm is proposed . According to the latest three models’outputs in global motion estimation, the algorithm predicts overlapping regions between reference and current frames by using Lagrange parabolic interpolation, and then extracts feature points in the smaller region instead of the whole image. In this way, it can eliminate a large number of information redundancies to increase the processing speed of each frame, improve the effectiveness of feature points and reduce the mismatch. Experimental results show that the improved algorithm has the features of strong adaptive ability, rapidity and high matching accuracy, and it can be applied to the real-time positioning. 153
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WCICA 2012 The 10 th World Congress
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