Applied Mechanics and Materials Vols. 303-306

Abstract: Nonlinear, large delay and time-varying are the main features of VAV air-conditioning and the object controlled models are uncertain. So it is difficult for PID controller to achieve an ideal control effect due to those features. In order to prove the VAV control stability and ensure indoor comfort, the T-S model with the generalized predictive control is applied to the control of VAV. Firstly, the VAV system of T-S model is identified by fuzzy clustering method and least square method, and the linear model is gotten, and it is controlled by the generalized predictive, the results show that this method has a very good control effect.

Abstract: As the squirrel-cage induction generator (SCIG) system have been applied for wind power generation system (WPGS) for long time, the research for its control will enhance the control performance and instructive for another relative wind power system. The large power wind power generation system was constructed based on SCIG with vector control, the system was decoupled with rotor flux loop torque loop. the mathematical models of wind turbine subsystem, drive train subsystem, and SCIG subsystem was created respectively. the SCIG model and vector control strategy was taken with MATLAB S-function, the torque control loop, speed control loop, power control loop and the optimal control system was integrated at last, the simulation result shows this control system can realize optimal control for large wind energy conversion system which can effectively applied into SCIG wind power generation system for system modification.

Abstract: According to the multivariable coupling, large delay, nonlinear, time-varying and other difficulties of a thermal power plant boiler combustion system, a kind of technology based on fuzzy control of a thermal power plant boiler combustion system was presented. Fuzzy control technology was used to research and determine fuzzy control rule tables. Multivariable static and dynamic models were given to boiler combustion system. Results of simulation show that boiler combustion system control precision was effectively improved and good effects in production and application were got.

Abstract: This paper is concerned with oscillatory and asymptotic behavior of solutions of a class of third-order nonlinear functional differential equations. By using the generalized Riccati transformation and the integral averaging technique, two new sufficient conditions which insure that the solution is oscillatory or converges to zero are established. The results obtained essentially generalize and improve earlier ones.

Abstract: Robotic fish is a multivariate and nonlinear controlled object, its work environment is complicated, these lead the motion controlling of robot fish be very difficult. This paper provides a method of robotic fish controlling based on BP neural network, and on URWPGSim2D simulation platform. Using the relative position of the fish robot, the ball and the target point in current cycle, this method can compute the two controlling value of robotic fish, which are the velocity and angular velocity, in the next cycle. The experiments show that this method can efficiently reduce the error that comes from the platform randomness, and robotic fish can run smoothly according to the predefined moving route.

Abstract: The second carbonation in the clarifying process of sugar cane juice is a dynamic nonlinear system which has the characteristics of strong non-linearity, multi-constraint, large time-delay, multi-input and other characteristics of complex nonlinear systems. In this paper, BP neural network is applied to the model of the second carbonation clarifying process of sugar cane juice. The generalized predictive control algorithm is employed to the optional control of color value in clarifying process of second carbonation. The result of Matlab simulation shows that generalized predictive control algorithm based on BP neural network implement the optimal control of the second carbonation with strong robustness and high control precision.

Abstract: In order to solve the problem of inconvenience in network construction, short transmission distance of RS232 and non-intelligence audio device with different interface for network, this paper presented a design of audio intelligent control network based on CAN-Bus. The topology of audio control network, structured models of ICANNet and hardware are firstly discussed. Then the protocol of transport layer and application layer and software of intelligent control network is studied. Finally the test results were given to demonstrate the feasibility and reliability of the design.

Abstract: In order to realize energy-saving for marine power system, combining the fuzzy set theory with the traditional PID control technology, the marine power system energy-saving controller was designed, which control ship power grid frequency and voltage collaborative reduction within a certain scope and scale. As several prototypes testing, the application of the energy-saving controller, which control the ship power grid frequency from 60Hz dropping to 57Hz, and the voltage from 450V collaborative falling to 425.5V, and meet the Ship Building Standard, can save 9.85% of electric energy and 9.53% of fuel.

Abstract: An energy recovery and high effective fatigue test system for accumulators has been developed through the improvement of test method JB-T 7037-2006 and test requirements JB-T 7036-2006 [1][2]. The test system contains hydraulic system and control system. The hardware system of control system is based on IPC as upper computer and PLC as lower computer, while the software system is based on Borland C++ Builder 6.0, which can realize collecting and saving the field data, drawing and saving testing curve, and generating export.

Abstract: Power network reconfiguration is an important process in the improvement of operating conditions of a power system and in planning studies, service restoration and distribution automation when remote-controlled switches are employed. This paper presents the use of a quantum-inspired evolutionary algorithm to solve the distribution network reconfiguration problem. The quantum- inspired evolutionary algorithm is the combination product of quantum computing and evolutionary computation and is suitable for a class of integer programming problems such as the distribution network reconfiguration problem. After the analysis and formulation of the distribution network reconfiguration problem, the effectiveness and feasibility of the introduced method is verified by a large number of experiments.