Conference Program of WCICA 2012

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Conference Program WCICA 2012 Finally, a numerical example is given to illustrate the effectiveness of the proposed method. ◁ PFrC-05 Intersection Analysis of Input and Output Constraints in Model Predictive Control and On-line Adjustment of Soft Constraints, pp.2543–2549 ZHOU, Xiaolong Wang, Shubin LUO, Xiong-lin China Univ. of Petroleum China Univ. of Petroleum, Beijing China Univ. of Petroleum The constraints of input variables and output variables commonly exit in the actual industrial production process. Due to the interference and different constraints between conflicting, the constraint conditions can not be all satisfied, appearing to look for less feasible solutions and global optimal solution and then bringing negative effects on the actual production. Based on Polyhedral pole, the constrained model predictive control feasibility and the soft constraints adjustment algorithm when infeasibility are discussed in this paper. The method in this article considers the feasibility analysis and the reasonable soft constraints adjustment before the rolling optimization in each step, which makes the whole control process meet the requirements of constraint conditions without changing the basic structure of MPC. Through the simulation results of the constrained CSTR system, the validity and feasibility of the algorithm are verified. ◁ PFrC-06 New Active Queue Management Scheme Based on Statistical Analysis, pp.2562–2565 Xu, Qin Sun, Jinsheng Nanjing Univ. of Sci. & Tech. Nanjing Univ. of Sci. & Tech. Most Active Queue Management (AQM) schemes try to stabilize the instantaneous queue length through mapping the congestion measurement into packet drop probability. In this paper we proposed a new AQM scheme called Exact Dropping Probability (EDP) without visible congestion measurement and mapping. It’s developed through statistical analysis for a dumbbell topology network. The simulation results demonstrate that EDP can control the instantaneous queue length converging to the desired value under various scenarios. We compare the performance of EDP with other existing AQM schemes like PI, REM and RaQ, and show that EDP has the fastest reactivity and the smallest oscillation. ◁ PFrC-07 Non-fragile Robust Design for a Control System of Air Fuel Ratio, pp.2607–2610 Heng, Qinghai Lu, Jing Lu, Yang Beijing Information Sci. & Tech. Univ. Beijing Information Sci. & Tech. Univ. Beijing Information Sci. & Tech. Univ. Non-fragile robust control problem of an air fuel ratio is studied. Under the premise of guarantee certain performances (overshoot and the settling time of the system, etc.), it is proposed that the μ-synthesis non-fragile robust performance design for the control system of the air fuel ratio is essentially to tolerate the greatest uncertainty. It is pointed out that this problem is really a non-fragile robust performance problem, the problem with both non-fragile robust stability and performance requirements (bandwidth and other performances). It is also suggested that the design of the non-fragile robust performance can be formulated as a μ-synthesis problem, if the uncertainty weighting function and the performance weighting function to system bandwidth and disturbance attenuation are revised appropriately. The μ-synthesis non-fragile robust PI controllers are solved. Results of the design look as if they were normal PI controllers, but their control quality, robustness and adaptability are better than the latter, and their structures are simple, definite, useful etc. The results show that the proposed method is efficient and feasible. ◁ PFrC-08 MLD-based Predictive Control of Energy Management for Hybrid Electric Bus, pp.2806–2811 Kou, Zhitao Zhejiang Univ. Song, Chunyue Pan, Zheng Zhejiang Univ. Zhejiang Univ. In this paper, the energy management strategy of HEB (hybrid electric bus) is designed based on MLD (Mixed Logical Dynamical) model. After establishing simplified models of vehicle’s fuel consumption and battery’s SOC(state of charge) change, the dynamics of the HEB are analyzed in each operating modes and associated MLD models are formulated. Then the problem of solving the energy management strategy is turned into a MILP (mixed integer linear programming) problem and real-time HEB energy management strategy is gotten by solving the MILP problem. Meanwhile, a receding-horizon strategy is employed to resist random disturbances and make up model mismatches. The simulations show that the presented approach improved fuel economy and reduced emissions. ◁ PFrC-09 Application Research on Data-based Third-order Linear Extended S- tate Observer Filter for Hot Strip Width, pp.2903–2907 Wang, Lijun Li, Qing Li, Jiangyun Tong, Chaonan Yin, Yixin Dong, Jie Univ. of Sci. & Tech. Beijing Univ. of Sci. & Tech. Beijing Univ. of Sci. & Tech. Beijing Univ. of Sci. & Tech. Beijing Univ. of Sci. & Tech. Beijing, China Univ. of Sci. & Tech. Beijing, China A practical data-based third-order linear extended state observer (ESO) filter is proposed based on state estimated by ESO. The filter is simple to use with only one parameter to tune. Then its transfer function, parameters tuning method and discrete simulation realization are given respectively. The proposed ESO filter is applied to the tracking of sine signal and square signal, the filter of signal with white Gaussian noise, and the filter of the width data for hot strip rolling mill in real time with measurement noise. Simulation results show the proposed ESO filter is practical without signal model, noise model and statistical characteristic of the measurement noise. Only according to present moment of the measurement data, it could meet the requirement with appropriate parameter. ◁ PFrC-10 Multi-Agent Failure Prediction based on Data Assimilation Theory, pp.3146–3151 Huang, Xun YAN, Junwei Liu, Min Tongji Univ. Univ. of TongJi Tongji Univ. In the context of preventive maintenance being valued, focusing on the defect of closure and low problem solving ability presented by single failure prediction system, combined with meteorological data assimilation theory and multi-agent technology, failure prediction of steel continuous casting equipment was researched. A distributed failure prediction system based on ensemble Kalman filter (EnKF) and multi-agent technology was developed, which overcomes the inelasticity of conventional prediction method used in a nonlinear environment. A prediction model with higher precision and higher efficiency was built, whose feasibility and effectiveness were verified by an actual case. ◁ PFrC-11 Fault Diagnosis Observer via Hybrid Fuzzy and Importance Sampling Schemes , pp.3254–3259 AL-BAYATI, AHMAD HUSSAIN Wang, Hong THE Univ. OF MANCHESTER Manchester M60 1QD,U.K this paper introduces a new direction of research to estimate states as well as detect and diagnose (Gaussian and non Gaussian) faults. Therefore, a new observer (FO) has been introduced and designed via a new filter for each output of plant. The new filter FSISF based on Fuzzy and Sequential Important Sampling algorithms to estimate and predicates the. Furthermore, the observer estimates the unknown s- tates of the plant according to the diagnosed fault, previous predicate weight and the residual of the plant. As results, a nonlinear Dc motor model considered as a benchmark to test the new observer (FO), 136
WCICA 2012 Book of Abstracts: Friday Sessions where, the good results of the simulation results have shown that the proposed observer is a robust observer against the colored, white noise and non Gaussian noise and fault. ◁ PFrC-12 Study and Design of Digital Simulation System for Pumped Storage Hydropower Units, pp.3068–3071 Chen, Qijuan Wuhan Univ. According to the characteristic of the pumped storage hydropower units, a simulation system based on theory and method of intelligent control maintenance management system (ICMMS) is presented, in which all the operation and maintenance simulation are coming to be realized. On the modeling ways, the concept of all condition modeling for the pumped storage hydropower units is put forward, so as to get identical operation and maintenance environment between prototype units and virtual units. ◁ PFrC-13 Amplitude Envelope Analysis for Feature Extraction of Direct-Driven Wind Turbine Bearing Failure, pp.3173–3176 Xin, Weidong Liu, Yibing He, Ying Su, Boxian North China Electric Power Univ. North China Electric Power Univ. North China Electric Power Univ. North China Electric Power Univ. Made measurements on direct-drive wind turbines to get vibration signals of main shaft, then the vibration characteristics of normal and fault units were analyzed and studied. On the basis of a comparative analysis of vibration signals characteristics between normal ant fault units, which were on time domain, frequency domain and the cepstrum domain, narrowband envelope analysis have been made. The difference of envelope spectrum for vibration signals between normal and fault u- nits is revealed. The results show that, narrowband envelope analysis can identify bearing fault state effectively. ◁ PFrC-14 Application of Over-complete ICA in Separating Turbine Vibration Sources, pp.3177–3180 An, Hongwen Liu, Yibing Yan, Keguo Wang, Yu Yang, Huan North China Electric Power Univ. North China Electric Power Univ. North China Electric Power Univ. North China Electric Power Univ. North China Electric Power Univ. The over-complete ICA problem is always meet in the application of engineering. That is to say, the number of unknown sources is more than the number of observed signals. At this time basic ICA model is not suitable. This text utilizes the component of priori knowledge as additional input signal (addition virtual channel), to increase the number of the input signals. And it can solve the engineering application problem of over-complete ICA. This method is tested through a group of actual turbine vibration signals. The similarity coefficient is introduced to verify the effect of source separation. ◁ PFrC-15 The PSO-LSSVM Model for Predicting the Failure Depth of Coal Seam Floor, pp.570–574 YAN, Zhi-gang China Univ. of mining & Tech. Analyzed the samples of the failure depth of coal seam floor collected in mining fields, studied the main influence factors being associated with the failure depth. In order to avoid overfitting problem of artificial neural network (ANN), a new least squares support vector machines (LS-SVM) model is presented to forecast the nonlinear failure depth of coal seam floor under the influence of mining based on particle swarm optimization(PSO) method. PSO is used to choose the parameters of LS-SVM, which can avoid the man-made blindness and enhance the efficiency, even improve the generalization performance. The experimental results show the method is feasible and precise, with reliable theoretical foundation and good practical performance. ◁ PFrC-16 Singularity Avoidance in Single Gimbal CMG Using the Theory of Potential Functions, pp.1103–1108 Chakravorty, Jhelum Indian Inst. of Tech. Bombay The control moment gyro (CMG) actuators used in attitude control of s- pacecraft suffer from the singularity problem where they fail to generate the output torque in some particular direction called the singular direction. In connection to the avoidance of the singularity, the notion of the potential function is discussed and shown to behave as an avoidance potential. Using the theory of the superquadratic isopotential contours around the singular point, a suitable algorithm is developed to avoid a small region enclosing the singular point. The isopotential contour, where the avoidance potential exceeds some pre-fixed value can be avoided. The stability of the CMG system using the potential function is discussed. Comparative studies using PID and PD controllers are done. ◁ PFrC-17 Hypersonic Vehicle control based on Integral Sliding Mode Method, pp.1762–1766 Liu, Helong Zong, Qun Tian, Bailing Wang, Jie Tianjin Univ. School of Electrical Engineering & Automation,Tianjin Univ. Tianjin Univ. Tianjin Univ. Considering the impact of parametric uncertainties on Hypersonic Vehicle steady tracking control, a control approach based on integral sliding mode was proposed. First of all, linearized model of the Hypersonic Vehicle’s longitudinal dynamics with uncertainties was obtained based on small disturbance linearization method with chosen trim point. Then, an integral sliding mode surface that guaranteed the global robustness of the control system was selected based on the uncertainty model. Next, sliding mode control law was designed and stability was analyzed based on the Lyapunov theory. At last, a simulation platform was built and results showed the effectiveness of the control approach through Monte-Carlo simulation. ◁ PFrC-18 Integrated Optimal Algorithm for Flexible Job Shop Scheduling with Due-date Window , pp.638–642 Song, Juan Ningxia Univ. The objective of Flexible job shop scheduling problem (FJSP) with duedate window is to minimize the total E/T (earliness and tardiness) penalties for NP-hard problem. In this paper, an integrated optimal genetic algorithm is developed to optimize flexible scheduling objective of E/T with due-date window. In addition, mathematical model is established with respect to minimize E/T penalties, subjected to a set of practical restrained conditions. To testify optimization feasibility, the due-date window is sorted into common and discrete due-date window in the experiments. The proposed approach has been simulated on several benchmarks. Simulation results show that the hybrid algorithm proposed has satisfactory performance. ◁ PFrC-19 Job-shop Scheduling Optimization Design Based on An Improved GA, pp.654–659 Zhao, Zixiang Zhang, Guoshan Bing, Zhigang Tianjin Univ. Tianjin Univ. Tianjin Univ. of Tech. & Education The job-shop scheduling problem (JSP) is a hard combinatorial optimization problem. In this paper, the mixed programming of MATLAB and VC is considered to solve the JSP. Firstly, MATLAB is used to implement an improved genetic algorithm (GA), and then the program is packaged into a dynamic link library (DLL). Secondly, VC is used to realize the input/output interface and call the GA DLL to schedule and store the scheduling results into the ORACLE database. Finally, the simulation results show that the improved GA has good optimization performance in solving JSP and the mixed programming design is effective. 137
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WCICA 2012 The 10 th World Congress
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