Advanced Materials Research Vols. 655-657

Abstract: An adaptive fuzzy sliding mode control strategy is designed to solve the problem of nonlinear, disturbances and uncertain parameters in asymmetric hydraulic cylinder position servo control system. Variable parameters and external disturbances of the system are identified by adaptive function. Meanwhile fuzzy exponential velocity reaching law is introduced to reduce the chatting phenomenon. Simulation results show the system dynamic performance is improved, the chattering phenomenon which caused by traditional sliding mode variable structure is weakened and the proposed algorithm is feasible. The algorithm control experiment of asymmetric hydraulic cylinder was done on the DSP28335 hardware platform. The experiment proves the effectiveness of the algorithm and achieves a good control result.

Abstract: one hardware-in-the-loop simulation (referred to HILS) system for terminally guided projectile guidance and control system has been built, based on the analysis to the demand of HILS for the guidance and control system of the terminally guided projectile. The running process and the comparison results of the HILS & mathematical simulation have been given. The simulation results show that the movement of the terminally guided projectile could be simulated by the HILS system, which has a high benefit-cost ratio and confidence.

Abstract: An adaptive sliding mode control for chaotic systems synchronization is considered. The design of robust finite time convergent controller is based on geometric homogeneity and integral sliding mode manifold. The knowledge of the upper bound of the system uncertainties is not prior required. System stability is proven by Lyapunov theory. The simulation results show the effectiveness of the proposed method.

Abstract: In this paper, the synchronization of fractional-orderchaotic system is studied. Based on the fractional stability theory, suitable controller is designed to realize the synchronization between fractional-order system and a integer-order system. Numerical simulations show that the effectiveness and feasibility of the controllers .

Abstract: Ice storage air-conditioning system can bring benefits to power supplier and consumers for its advantage of shifting power consumption at peak hours during day to the off-peak hours at night. In this paper, we adopted an improved particle swarm optimization algorithm to develop an optimal control strategy for ice storage air-conditioning system with the aim of minimizing operation cost subject to various operational constrains. Comparing with the usual chiller-priority and ice-storage-priority control strategy, the proposed control scheme can not only meet the building cooling load but also achieve the minimum operation cost.

Abstract: In this paper the predictive control of switching system is introduced to the DC/AC converter. Our aim is to control the output power of converter closer to the reference. By considering the working status of DC/AC converter is actually switched among several definite subsystems, the switching system model of DC/AC converter is constructed. The tracking problem of converter output power can be changed to be that of its three-phase output currents. Based on the switching system model of converter, the three-phase output currents of those subsystems are predicted and the switching command is determined by examining the discrepancies between the three-phase predictive currents corresponding to each subsystem and the reference ones. Simulations demonstrate that our control scheme for DC/AC converter connected with ultra-capacitor has great advantages in output power tracking and sinusoidal output current waveforms.

Abstract: The paper introduces the theory of maximal wind energy tracking based on wind turbine aerodynamic theory, based on which methods to realize are provided and control subsystem is build on RTDS. Simulating results on RTDS, of whole DFIG wind generating system, showed the method is feasible and the control subsystem is correct and effective.

Abstract: Tension control system is one of the widely used systems in modern industrial control systems. In tension control system PID parameter setting is one of the main problems affecting the control system performance. However, conventional PID parameter is difficult to set. This article describes a PID fuzzy controller based on adaptive learning, which can change according to the deviation and deviation rate to adjust parameters in real time. Practice shows that such self-learning fuzzy PID controller has better control performance than conventional PID controller in tension control.

Abstract: This paper reports results of further investigation of the direct torque control to a permanent magnet synchronous motor drive. A variable parameters speed controller is proposed from the point of view of speed control to accelerate the dynamic response and increase the control precision and decrease the torque ripple of the system. It is presented that a reference flux vector calculation direct torque control system with a speed controller using different proportional and integral coefficients, and a novel torque-limiting method is recommended. The simulation results show that the control system can improve its performances and limit torque ripple effectively.

Abstract: To meet the experimental requirements of university, we develop a new pneumatic circuit using the PLC control directly drive a large number of low power electromagnetic valves that execute components’ (straight cylinder, cycloidal cylinder) action by computer programming control, through the RS - 232 and PLC communication. This pneumatic circuit has integration of machinery and electricity, which has been proved to be a very good experimental instrument.