Conference Program of WCICA 2012

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Conference Program WCICA 2012 ◁ PSaB-20 The Stability Analysis of Nonlinear Time Variant System and the Application Based on Mathematical Simulation, pp.1844–1847 Zhang, Shuzheng Zhou, Fengqi Jiang, DeSheng Lu, Hongli Northwestern Polytechnical Univ. Xian northwestern polytechnical Univ. Unit 95948 PLA Unit 95948 PLA By researching the stability analysis methods of the complicated nonlinear time-variant system, some new analysis approaches are presented in this paper, which include the parameters fixing in Simulink and the system containing nonlinear links linearization in Matlab. In addition, the feasibility of using the analysis method of nonlinear time-variant system and the decoupling method for anti-aero missile control system with channel couple are discussed. The simulation results show that the stability analysis for a missile is provided in Simulink, which satisfy the requirement of analysis of anti-aero missile control performance. ◁ PSaB-21 Longitudinal Control of Intelligent Vehicle Based on Hybrid Automata Model, pp.1848–1853 Ge, Yanrong Chen, Yangzhou Zhang, Guoxiang Beijing Univ. of Tech. Beijing Univ. of Tech. Beijing Univ. of Tech. Based on the analysis of longitudinal control scenarios, a longitudinal control model of the intelligent vehicle in virtue of hybrid automata is built. Driving situations are divided into cruise control, speed following, inter-vehicle distance adjustment modes. Three corresponding control strategies are proposed depending on the driving modes. Then an algorithm of the longitudinal controller is designed. Not only is the following control of the target vehicle in the same lane achieved, but also, when the target vehicle changed, the following control of the new target vehicle is achieved through the control strategies of inter-vehicle distance adjustment. Simulation results show that the designed strategy can achieve a variety of scenarios in both high-speed driving and low-speed stop-and-go situations. ◁ PSaB-22 Dynamic Graph Hybrid System: a Modeling Method for Complex Networks with Application to Urban Traffic, pp.1864–1869 Chen, Yangzhou He, Zhonghe Shi, Jianjun Han, Xingguang Beijing Univ. of Tech. Beijing Univ. of Tech. Beijing Univ. of Tech. Beijing Univ. of Tech. In this paper, we present a modeling framework for complex networks, which is called Dynamic Graph Hybrid System (DGHS for short). First, we give a descriptive definition of DGHS. Furthermore, as a typical motivational example of DGHS, we apply it to model urban traffic signal control (UTSC) network, and the UTSC network model we propose is in fact a development of the well-known cell transmission model (CTM) in traffic flow theory. In addition, the problem of combination of vertices of UTSC network is considered. ◁ PSaB-23 Distributed Collaborative Processing Based on Task Allocation for Wireless Sensor and Actuator Networks, pp.1887–1892 Mo, Lei Xu, Bugong South China Univ. of Tech. South China Univ. of Tech. In this paper, we discuss the issues and challenges involved in collaborative sensing and actuation algorithms for environment control in wireless sensor and actuator networks. The collaborative processing of sensor and actuator nodes brings significant advantages over WSNs, including improved accuracy and timely actions upon the sensed phenomena. Our approach focus on tailor sensor nodes readings and adjust actuator nodes actions that will incur the minimum energy cost to the system subject to the constraints that users’ preferences regarding the state of the system are approximately satisfied. First, we formulate the mathematical models of WSANs system. Then, a mechanism is proposed to optimally assign tasks to actuator nodes and control their actions in a coordinated way to accomplish the tasks based on the characteristics of the events. Finally, we develop a distributed control scheme which enables actuator nodes to make control decisions locally. Simulations demonstrate the effectiveness of our proposed methods. ◁ PSaB-24 A New Control Method and Stability Analysis of Linear System with Variable Time-delay, pp.1904–1909 Sheng, Jie Li, Shuang Ji, Haibo Unversity of Sci. & Tech. of China USTC Univ. of Sci. & Tech. of China This paper proposes an effective control method aimed at the linear system with time-varying delay. We address the problem by means of switching among a finite family of candidate controllers. Our control method is based on semi-discretization method and hysteresis-based switching algorithms, where the former is introduced to design the candidate controller under one fixed time delay and the latter acts as the principal law of the switching. We prove the stability of our switching delay system and conclude that three factors, the size of the candidate controller set, the value of the switching coefficient, the changing rate of the delay, affect the system’s stability, which can also be demonstrated by several groups of experiments. Simulation results show the correctness of our design. ◁ PSaB-25 Globally Exponential Synchronization of 4D Four-wing Hyperchaotic Systems, pp.1910–1914 Liu, Xuezhen Shandong Polytechnic Univ. The globally exponential synchronization (GES) was proved based on the Lyapunov theorem for globally exponential stability. To demonstrate the theoretical predictions, the GES of 4D four-wing hyperchaotic systems was studied. Therefore, two nonlinear control laws were designed to obtain GES of the four-wing hyperchaotic system. The effectiveness of the control laws is demonstrated by using of both numerical and theoretical analysis. ◁ PSaB-26 Active disturbance rejection control for the yaw tracking for unmanned helicopter, pp.1915–1919 JIANG, Zhe Chinese Acad. of Sci. The yaw dynamics of helicopter involve input nonlinearity, time-varying parameters and the couplings between main and tail rotor. With respect to such a complicated dynamics, the normal control is difficult to realize good tracking performance while maintaining stability and robustness simultaneously. In this paper, an active disturbance rejection control (ADRC) method is proposed. we design an extended state observer (ESO) to estimate the impact from parametric uncertainties and disturbances, and realize online compensations. Time-varying parameters and other uncertainties in the helicopter dynamics can be rejected by active disturbance rejection control to achieve small tracking error. The simulations results with respect to the dynamics identified from a real helicopter-on-arm testbed are presented. The simulation results are further demonstrated the improvements of the proposed algorithm under the time-varying parameters and other uncertainties. ◁ PSaB-27 ADRC Controller Used in Dynamic Positioning System of a Rescue Ship, pp.1942–1947 Lei, Zhengling GUO, Chen Liu, Yang Dalian Maritime Univ. Dalian Maritime Univ. Dalian Maritime Univ. Dynamic positioning system of marine vehicles has been undergoing a rapid development and application. In this paper a maneuvering mathematical model and a pure sway motion model with three degrees of freedom are established, an ADRC controller for the dynamic positioning system of a rescue ship is designed. The results of simulation indicate that the control performance and robustness of ADRC is significantly better than conventional PID controller, the outputs of rudder angle and pitch of CPP are smoother and gentler improved , the steady 182
WCICA 2012 Book of Abstracts: Saturday Sessions state accuracy of control output is better, the adaptability of parameters is extensive. Taking pure sway motion of the rescue ship for example, rapidity and effectiveness of a proposed multi-mode controller are verified. ◁ PSaB-28 Indirect Adaptive Fuzzy Controller Design for Vertical Direct-driven Servo System, pp.1953–1957 Xu, Xing Cai, Tao Wang, GuangHui Xu, Zhishu Beijing Inst. of Tech. Beijing Inst. of Tech. Beijing Inst. of Tech. Beijing Inst. of Tech. In order to deal with the uncertainties and nonlinearities within a permanent magnet line synchronous motor (PMLSM) vertical servo system, such as friction, thrust ripple and external disturbance, an indirect adaptive fuzzy (IAF) controller designed. The IAF controller comprises a supervisory controller and an equivalent controller. The supervisory controller is proved to guarantee the tracking error asymptotically stable without any requirement on the optimal approximation error (OAE). Simulation illustrate that the IAF controller can make the servo system track the reference signal accurately and has good robustness. ◁ PSaB-29 Passivity-Preserving Model Reduction for Descriptor Systems with H ∞ Norm Error Bounds, pp.1958–1963 Wang, Jing - This paper considers the passivity-preserving model reduction problem for positive real descriptor systems. The model reduction principle is presented first, then a sufficient and necessary conditions is provided to check whether the high-order descriptor systems can be reduced with preservation of passivity. A model reduction algorithm is provided. Moreover, the presented method provides an H ∞ norm bound on the approximation error. ◁ PSaB-30 Simulation Testing Method of V/STOL Flight Control Strategy, pp.1969– 1975 Tian, Ye He, Yang Li, Xinyuan Zhu, Jihong Tsinghua Tsinghua Tsinghua Tsinghua Univ. Recently the V/STOL has become the developing direction of future fighter while the simulation testing method is an important way to s- elect and optimize V/STOL flight control strategies. According to the characteristics of the V/STOL flight, this paper proposes three kinds of control strategies and two kinds of control response-types, designs a simulation testing method, thereby, analyzes the control strategies and response-types based on the simulation results. With the standardized target detection and guidelines, our simulation testing method provides standard experiments for normal tests of V/STOL flight control strategy. The contrast of V/STOL flight control strategies can be implemented by this method. The simulation results show that the new integrated control strategy, compared with others, provides higher isolation of operating channel, more stability of flight and smoothness of modes switching. Under the low-speed circumstance, the Translational Rate Command widely used in control strategies have the advantages of flexibility, stability and facility for pilot to achieved accurate positioncontrol. ◁ PSaB-31 The Robust Adaptive Control of Arc Furnace System Based on Backstepping Method, pp.1987–1992 Liu, Xiao-he Gao, Nan Beijing Information Sci. & Tech. Univ. School of Automation, Beijing Information Sci. & Tech. Univ. Three-phase arc furnace system as a kind of typical nonlinear, threephase strong coupling system which has complex and uncertain disturbance, traditional control method such as PID is hard to obtain the good control effect. Robust control is just brought out to deal with system uncertainty, whose research emphasis is to discuss the resistance of the system’s certain characteristics or index to some disturbance. This article in view of the electric arc furnace system’s nonlinear mathematical model, combining with the feedback linearization output tracking control, designed index robust adaptive control which based on Backstepping method. The simulation results show that: the design of the L 2 index robust adaptive controller has better tracking performance and robustness than PID controller. It proves the correctness of the designed algorithm from the hardware point of view. Anti-jamming performance also meets the system control requirements. ◁ PSaB-32 Energy-based Robust Nonlinear Control of Multiple Static Var Compensators in Power System, pp.1993–1998 Ding, Qingqing LIU, Yanhong Li, Jianyong Tsinghua Univ. Zhengzhou Univ. Zhengzhou Univ. of Light Industry Using the energy-based Hamiltonian function method, this paper investigates the robust nonlinear control of static var compensators (SVCs) in power systems with nonlinear loads. First, the uncertain nonlinear d- ifferential algebraic equation model is constructed for the power system. Then, the dissipative Hamiltonian realization of the system is completed by the means of variable transformation and pre-feedback control. Finally, based on the obtained dissipative Hamiltonian realization, a robust nonlinear controller is put forward. The proposed controller can effectively utilizes the internal structure and the energy balance property of the power system. Simulation results verify the effectiveness of the control scheme. ◁ PSaB-33 Improved Robust H∞Filtering for Polytopic Delta Operator Systems, pp.2011–2016 Zhang, Ying Zhang, Rui Harbin Inst. of Tech. Shenzhen Graduate School Chinese Acad. of Sci. The problem of robust H-infinity filtering for polytopic Delta operator systems is investigated. The main purpose is to obtain a stable and proper linear filter such that the filtering error system remains robustly stable with a prescribed H-infinity attenuation level. Based on the bounded real lemma, a more efficient evaluation of robust H-infinity performance can be obtained by a matrix inequality condition which contains additional free parameters. When applying this new matrix inequality condition to be the robust filter design, these parameters provide extra degrees of freedom in optimizing the guaranteed H-infinity performance and lead to a less-conservative design. A numerical example is included to illustrate the effectiveness of the proposed approach. ◁ PSaB-34 Robust Nonlinear Model Predictive Control Algorithm Based on Reduced Precision Solution Criteria, pp.2033–2038 Wan, Jiaona Zhang, Tiejun Wang, Kexin Fang, Xueyi SHAO, Zhijiang Research Inst. of Highway ministry of Transport Research Inst. of Highway, Ministry of Transport zhejiang Univ. zhejiang Univ. Zhejiang Univ. This paper discusses the robustness of nonlinear model predictive control (NMPC) based on sub-optimal solution obtained under reduced precision solution (RPS) criteria. NMPC needs to solve the optimal control problem (OCP) quickly and the input is injected to the controlled plant in time. Traditional convergence criteria in optimization algorithms usually cost excessive long computation time with little improvement of solution, which results in degradation of control performance eventually. RPS criteria are new convergence criteria for deciding whether the current iterate is good enough and whether the optimization procedure should be terminated. It can terminate the optimization process timely. This work pays special attention to robustness of the closedloop system controlled by NMPC with RPS criteria when model plant mismatch exists. Simulations demonstrate that the proposed algorithm owns good robustness and stability. 183
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WCICA 2012 The 10 th World Congress
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