Advanced Materials Research Vols. 614-615

Abstract: As three-phase asynchronous motor is a complex system with time-varying multiple-input multiple-output, strong coupling, nonlinear and at least seven order differential equations. So the use of linear and fixed PID parameters to control slip frequency system cannot give well consideration to dynamic and static performance. In order to improve the control effect and enhance the robustness, this paper put forward a slip frequency control scheme of fuzzy self-adaptive PID algorithm, which is based on the complementary combination of advantages between PID control and fuzzy control. The control structure and design method of implementation scheme are given, and the simulation was conducted by MATLAB. The simulation results show that the scheme is feasible as it has better dynamic and static performance than conventional PID control.

Abstract: On basis of considering influence of rigidity, elastic module, unit weight and section area etc conductor parameters on the jumper conductor, establish the mathematic model of the jumper conductor on basis of Cosserat bar theory, operate MATLAL and call VC++ Compiler to complete research and development of the jumper conductor length calculation software. Through test simulation of the jumper conductor and Xiangjiaba -Shanghai ±800kV DC engineering application, calculate sag and design sag with software which have good consistence, reduce high height operation time and reduce waste of jumper conductor, realize the standardized design and construction of the jumper conductor, which has good application prospect.

Abstract: This paper analyses deeply therapeutic theory of the genu varus or valgum and puts forward a physical orthopedic model that the patients are in different external force environment based on biomechanics and cartilage-derived growth theory. The mechanism structure and working principle of stretching unit, orthopedic unit and vibration unit are introduced and respective mechanical equations of above unit are established. The paper develops a prototype with which a lot of experiments and tests were made, the experiment results show that the structure of the prototype is reasonable and it can work effectively and reliably.

Abstract: To minimize the influence of power grid with wind power generation resulted by voltage sags with short duration, a paralleled integrated control device of squirrel-cage induction wind generator LVRT (Low Voltage Ride Through) is proposed which adds paralleled module circuits to conventional wind generator. With closed-loop hysteresis current control based on instantaneous reactive power theory and rated voltage control, this device can achieve reactive power compensation in normal operation and voltage stability when voltage sags. Power produced by wind generator is consumed during the sag and wind power generation system is connected to grid all the time. Simulation models about the device were built based on PSCAD / EMTDC platform and the analysis verifies the device’s achievement of LVRT.

Abstract: C8051F040 was used as the core of the control system of the orthopedic rehabilitation bed to cure genu varus or valgum. The paper designed a hardware circuit, software program of the system to realize the functions that the patients were able to regulate the bed fully independently.

Abstract: A high frequency pulse D.C. Link Soft-Switched Electron load based on Discrete Pulse Modulation (DPM) control is introduced. The method of energy recovery is used to implement various discharging of the storage battery．The electron load developed has good performances such as a good sinusoidal output wave，a rapid dynamic response and a good stability etc.．

Abstract: In order to improve the accuracy of fault diagnosis of asynchronous motor, neural network model combined with ant colony algorithm is presented. Taken the mean square error as objective function, then the weights and threshold values are optimized through multiple generation computation of ant colony, and the fault diagnosis is accomplished via the optimized neural network. The simulation results show that the algorithm is to overcome the slow convergence, easy to fall into local minimum problem of BP network, and achieve good diagnosis.

Abstract: Applying transfer matrix method, we get reflection and transmission coefficient of finite one dimensional photonic crystals. At the same time, we consider the position influence of single defect. We find the frequency of defect mode is same, but the height of transmission peak is not same when single defect is in different position of crystal. The transmission peak is maximum when the defect is in center of finite one dimensional photonic crystals.

Abstract: Power network planning is a NP hard problem difficult to be solved. It can be contributed to similar TSP problem. Aiming at the slow convergence speed of the traditional immune clonal selection algorithm (ICA), adaptive immune clonal selection algorithm without memory（AICA）and adaptive immune clonal selection algorithm with memory(AICAM) are proposed respectively based on the combination of adaptive algorithm of clonal probability, immune probability , and group disaster algorithm. The two proposed algorithms have been applied to Power network planning problem. The adaptive algorithm has strong global search ability and weak local search ability at early evolution. Global search ability is weakened and local search ability is enhanced with the process of evolution in order to find global optimal point. The application of group disaster algorithm can enhance the diversity of the population and avoid the premature problems to some extent. Simulation results indicate that compared with the traditional immune clonal selection algorithm(ICA), the proposed algorithms can enhance the diversity of the population, avoid the premature problems, and can accelerate convergence speed in some extent.

Abstract: According to the intelligent residential quarters, the power consumption model is put forward to supply scientific strategy of the power consumption and influence the users’ habits actively so as to conserve energy and peak load shifting. Using this model we design the intelligent power consumption master station and establish a comprehensive evaluation index to inspect the operating effect of this model.