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Conference Program of WCICA 2012

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<strong>Conference</strong> <strong>Program</strong> <strong>WCICA</strong> <strong>2012</strong><br />

Bi, Jianchao<br />

Chongqing Univ.<br />

To solve the fuzzy control rule being difficult to change with the status<br />

variation in water temperature and mixed solidification and so on, the<br />

paper presented a sort <strong>of</strong> fusion control strategy based on human intelligence<br />

simulated. It studied the purified process such as mixed solidification<br />

and so on, analyzed the impact factors <strong>of</strong> mixed solidification,<br />

summarized the cybernetics characteristic, and constructed the engineering<br />

control algorithm based on human intelligence simulated. And<br />

it took one order model with large lag and inertia as an example to make<br />

simulation respectively by the presented algorithm and PID, compared<br />

the response curve in control quality, anti-jamming, and robustness <strong>of</strong><br />

parameter change, it indicated the former being quicker in response<br />

time, and higher in control precision. The simulation results show it is<br />

strong in adaptation and robustness to the controller constructed by the<br />

presented control strategy.<br />

◁ PFrC-83<br />

Sliding Mode Control based on Particle Filter for Position Tracking System,<br />

pp.2597–2600<br />

DAI, Wen-zhan<br />

HE, Li Ming<br />

Yang, Aiping<br />

zhejiang Sci-Tech Univ.<br />

Zhejiang Sci-Tech Univ.<br />

Zhejiang Univ. <strong>of</strong> Finance & Economics<br />

Motor servo control system is <strong>of</strong> nonlinear, multivariable, strong coupling.<br />

A scheme <strong>of</strong> sliding mode control is proposed based on particle<br />

filter for position tracking system. Simulation results show that system’s<br />

tracking performance is much better than Kalman filter, and it can significantly<br />

improve the system dynamic performance and robustness.<br />

◁ PFrC-84<br />

The aircraft flutter model parametric identification based on frequency<br />

domain global optimization algorithm, pp.2611–2617<br />

Yao, Jie<br />

jingdezhen ceramic insitute<br />

With regard to the aircraft flutter flight test stochastic models coexisting<br />

input and output observation noise, this paper deduces the simplified<br />

form <strong>of</strong> the maximum likelihood cost function about the stochastic model<br />

by virtue <strong>of</strong> the frequency domain maximum likelihood estimation<br />

principle. Then a global optimization iterative convolution smoothing i-<br />

dentification method is derived to significantly reduce the possibility <strong>of</strong><br />

convergence to a local minimum and weakly dependent <strong>of</strong> the starting<br />

values’choice by using the global optimization theory. The identification<br />

method modifies the iterative method with a stochastic perturbation<br />

term and guarantees the algorithm converge to a global minimum. The<br />

simulation with real flight test data shows the efficiency <strong>of</strong> the algorithm.<br />

◁ PFrC-85<br />

PID Controller Parameters Optimization for the Main Steam Temperature<br />

System Based on Immune Algorithm-Particle Swarm Optimization,<br />

pp.2618–2623<br />

Yuan, GuiLi<br />

Zhu, Lei<br />

North China Electric Power Univ.<br />

North China Electric Power Univ.<br />

In this paper, PID control model was set up for the main steam temperature<br />

control system <strong>of</strong> modern large-scale power plant, combined<br />

the immune algorithm and particle swarm optimization, and improved<br />

by adding adaptive crossover and adaptive mutation. It is optimized<br />

the main steam temperature control system which in typical load conditions<br />

with the improved algorithm. By comparison with the traditional<br />

genetic algorithm shows, this algorithm has certain advantages on convergence<br />

and robustness<br />

◁ PFrC-86<br />

Research on sampling period <strong>of</strong> discrete variable structure controller<br />

Based on the Two-wheeled self-balanced Vehicle, pp.2653–2656<br />

Meng, Xiang-zhong<br />

Liu, Xin-wen<br />

Li, Jing<br />

Li, Da-yu<br />

SU, Yongzhen<br />

Air Defence Forces Acad.<br />

Air Defence Forces Acad.<br />

Zhengzhou Lighting Management Bureau<br />

Air Defence Forces Acad.<br />

air defense Acad.<br />

Two-wheeled self-balanced becomes a typical device to test various<br />

control method because <strong>of</strong> its unique characteristics. The sliding mode<br />

<strong>of</strong> VSC (Variable Structure Control) has strong robustness, so it is<br />

applied to the two-wheeled self-balancing vehicle would be a great advantage<br />

,but there is few research on it. To realize the computer control<br />

based on the discrete variable structure controller, we have to research<br />

the sampling period. In this paper, we give a method to find the longest<br />

sampling period <strong>of</strong> VSC based on two-wheeled self-balanced Vehicle.<br />

◁ PFrC-87<br />

One Nearspace Hypersonic Aircraft Dynamic Surface Adative Backstepping<br />

Control Design Based on Nonlinear Neumatic/ Thrust Vectoring<br />

Composite Control, pp.2669–2673<br />

Dai, Shaowu department <strong>of</strong> automatic control engineering<br />

301unit,NAEI<br />

Chen, Jie<br />

Song, Chao<br />

department <strong>of</strong> automatic control engineering<br />

301unit,NAEI<br />

School <strong>of</strong> Automation Sci. & Electrical Engineering,<br />

Beijing Univ. <strong>of</strong> Aeronautics & Astronautics,<br />

One nearspace hypersonic aircraft model based on pneumatic/ thrust<br />

vectoring composite control was built, compound controler optimization<br />

scheme was adopted to cooperate pneumatic/thrust vectoring compound<br />

controler equivalent dynamic characteristic to reference model<br />

during dynamic assign.In the course <strong>of</strong> adaptive backstepping design,<br />

the dissertation employes the dynamic surface control strategy to eliminate<br />

the explosion <strong>of</strong> terms by introducing a series <strong>of</strong> first order filters to<br />

obtain the differentiation <strong>of</strong> the virtual control inputs. Lyapunov stability<br />

theorem guarantees the error uniformly bound. Both theory analysis<br />

and 6 DOf simulation verification show the simpleness and arithmetic<br />

availability.<br />

◁ PFrC-88<br />

The Control Theory <strong>of</strong> Permanent Magnet Synchronous Motor Based<br />

on Anti-windup Control, pp.2801–2805<br />

Ma, Jingcong<br />

Zheng, Yang<br />

Dalian Maritime Univ., China<br />

Beijing Univ. <strong>of</strong> Tech.<br />

This article reviews and compares several aspects <strong>of</strong> permanent magnet<br />

synchronous motor speed control method <strong>of</strong> the anti-windup. In<br />

generally, motor control aspects <strong>of</strong> the state equation is modeled as<br />

linear systems in real-time control systems, at the same time the system<br />

will generate much higher than normal current and voltage values.Therefore,<br />

PI control is likely to have links to over-amplification <strong>of</strong><br />

the control value, This phenomenon is called over-saturation <strong>of</strong> the motor,<br />

The existence <strong>of</strong> this phenomenon will cause the system to nonnormal<br />

operation, causing system instability. So we will see in the article,<br />

several anti-saturation control algorithms, they will be in permanent<br />

magnet synchronous motor sensorless vector control algorithm and<br />

control algorithm for anti-saturation control and the speed controller in<br />

its use, to reduce saturated part <strong>of</strong> the motor speed, and the comparison<br />

<strong>of</strong> each other.<br />

◁ PFrC-89<br />

Two-Degree-<strong>of</strong>-Freedom Control Scheme for Cascade Control Systems,<br />

pp.2812–2816<br />

Zhang, Jinggang<br />

Zhao, Zhicheng<br />

Taiyuan Univ. <strong>of</strong> Sci. & Tech.<br />

taiyuan Univ. <strong>of</strong> Sci. & Tech.<br />

A new two-degree-<strong>of</strong>-freedom control structure is proposed for cascade<br />

control systems. Analytical method <strong>of</strong> controller design is derived for<br />

the general process model. Its dominant merits are that the primary<br />

deficiency <strong>of</strong> tuning trouble occurring in a conventional cascade control<br />

system is essentially overcome. With this structure, the set-point tracking<br />

and disturbance rejection property <strong>of</strong> primary and secondary loop<br />

are no longer coupled. Meanwhile, the approximation for the closedloop<br />

transfer function <strong>of</strong> the secondary loop is no longer necessary<br />

in the design <strong>of</strong> primary loop controller, so the system control performance<br />

is improved. The simulation results demonstrate that the proposed<br />

method is superior to the existing methods.<br />

◁ PFrC-90<br />

Research on the controller <strong>of</strong> Two-wheeled self-balanced Vehicle<br />

146

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