Advanced Materials Research Vol. 740

Abstract: Trajectory planning and simulation of docking tests on the ground for space simulator is one of key technologies to complete space docking mission. A new time-optimal trajectory planning algorithm is proposed based on minimum acceleration limitation. It is realized by searching maximum acceleration to obtain the best time according to PSO (particle swarm optimization). Through calling matlab script by LabView and capturing control set points, 3D CAD model is driven to verify the rationality of the trajectory planning algorithm and model design. The simulation results show that the simulator using the proposed algorithm can move smoothly and reliably meeting the experiment requirements.

Abstract: t firstly set up energy converting control model of high building rescue apparatus (HBRA), and developed a controller of the HBRA by using AVR micro computer unit (MCU), designed the control circuits for electric energy converting to thermal energy, then developed program to generate the PWM control wave. At last, it tested the PWM output wave of the controller, and experimented on the HBRA with the controller on loads of 15kg and 25kg. The results proves the controller can automatic adjust the duty ratio of PWM wave according to the different loads, which can keep the slow-down velocity constant of the loads and help people rescue from high buildings in emergency such as on fire.

Abstract: System design generally involves making long-term decisions such as facility layout and system capacity/configuration. As such, models are typically created and used for a single design exercise, and model run time is not a significant factor during the simulation process. The simulation process is based on the use of Simio standard simulation program. This chapter comprises of a generic workstation diagram that shows a setup of an ideal assembly line. This assembly diagram is the basis from which a flowchart/ algorithm is derived from. The assembly line consists of workstations (one to some given number N). N in case is six. Each workstation is fed by buffer storage areas which are continuously replenished according to the supply conditions of the program. A transporter transports the assembly in between stations. This transporter can either be a conveyor as is with Arena, or a vehicle, as is the case in the Simio program. The Generic Flowchart is based on the Generic Assembly Diagram. The given steps from the identification of the component to has the component has been assembled occur in one assembler and are for one component. These activities (flowchart) are repeated for each component up to the required number of components that make-up the product, i.e. the loops are repeated for each component in the assembly process. The purpose of this paper is to establish a generic simulation process, which will be based on the generic algorithm and generic assumptions to be used to simulate an automated assembly process. In this generic program, the following parameters can be varied: number of workstations, number of components, and order of assembly, cycle time, time to assembly, component and workstation availability and buffer capacity.

Abstract: Most research has been concentrating on getting input from and simulating specific assembly processes. The most advanced simulation research is based on data driven methods. The rest of simulation articles are case study based. This work envisages establishing a generic simulation process, which will be based on the generic algorithm and generic assumptions to be used to simulate an automated assembly process. The simulation model is based on proposed configuration and operational information. It is used to verify that the proposed system will meet required production rates and, to predict the relative performance of alternative configurations. It can be used for what-if analysis to investigate different operation scenarios and optimize production systems. Validation of the result was done through the use of different scenarios. It is only by using the model to answer specific questions about ways of changing the system that realizable improvements are identified.

Abstract: There are three problems that people usually have to face when they carry out optimal control designs in state space system form or descriptor system form. They are no state derivative considered in cost functional,no well-developedstate derivative feedback control algorithms and some systems cannot easily design optimal control in these two system forms. To overcome the problems, a novel state derivative space system (SDS) form is introduced. In this novel form, novel differential Lagrange multiplier should be used to adjoinSDS system constraint to the cost functional that is function of state derivative only to straightforwardly carry out optimal control design. Based on the optimal control design in SDS form, control in SDS form is developed. It showed that for descriptor systems with impulse modes, if they can be expressed in SDS form, one can easily carry outcontrol design by solving only an algebraic Riccati equation. The purpose of this research is to develop novel and simple control algorithms in SDS form so that wider ranges of problems can be solved without much of mathematics overhead.

Abstract: H-infinity norm is the maximum system gain and is related to the system output response. Finding the minimum of H-infinity norm is essential in control design to avoid overshoot or saturation in implementation. The fundamental of finding the minimum of H-infinity norm is based on optimal control. There are three problems that people usually have to face when they carry out optimal control designs in state space system form or descriptor system form. They are no state derivative considered in cost functional, no well-developed state derivative feedback control algorithms and some systems cannot easily design optimal control in these two system forms. To overcome the problems, a novel state derivative space system (SDS) form is introduced. In this novel form, novel differential Lagrange multiplier should be used to adjoin SDS system constraint to the cost functional that is function of state derivative only to straightforwardly carry out optimal control design. Based on the optimal control design in SDS form, the process of finding the minimum H-infinity norm in SDS form is successfully developed and verified in this paper. That process in SDS form is actually as straightforward as its counterpart in state space form. Consequently, wider ranges of problems can be solved without much of mathematics overhead.

Abstract: Generalized predictive control (GPC) algorithm has been applied to all kinds of industry control systems. But systemic and effective method for nonlinear system has not been found.To this problem,this paper integrates the characteristics of PID technology and GPC,present a PID generalized predicitive control algorithm for a class of nonlinear system,and improves the control quality of the system.

Abstract: The problem of transceiver coil resonance frequency detuning is solved tentatively on resonant coupling energy wireless transmission in this paper. The circuit model of the wireless transmission system of the resonant coupling electrical energy is first studied, the relationship between the parameters of the system and the transmission efficiency of the various parts is analyzed, and yhe studies have shown that the change in the amount of the transmitting coil inductance greater impact on the transmission efficiency, while the receiving coil inductance change in the amount of efficiency small, and thus the proposed phase locked loop frequency tracking technology, to ensure that the transceiver coil resonant frequency to ensure that the transmission efficiency of the system. The feasibility of the design frequency tracking system is verified with the experimental results.

Abstract: ZigBee is a kind of new wireless sensor technology, this paper introduces wireless network equipments and network topology based on the ZigBee protocol, and then in the perspective of energy management explores the different time interval of different number of nodes to join the network through a coordinator. Proved by NS2 simulation, to set the best time interval at 0.3s can make the network conflicts least in the process of networking and the total time for all devices to complete networking can be reduced by 61.66% at most, thereby reduce the energy consumption in the process of networking and extend lifecycle of the whole network. This has important practical significance to ZigBee-based wireless sensor network application to extend the network life.