Applied Mechanics and Materials Vols. 300-301

Abstract: High information content of integrated engineering activities stimulated development of product modeling during the past decades in order to support information management for lifecycle of products. Mechatronics is one of the engineering areas those require integrated product development techniques with strong knowledge based modeling and simulation in their background. The authors of this paper analyzed product modeling advancements in industrially applied product lifecycle management (PLM) systems in order to conceptualize new method to enhance knowledge content in product model. As a result of this analysis, they proposed a new method for control of product definition which extends the existing control in current PLM systems. This method is a contribution to solution for problems in current product modeling and is called as coordinated request based product modeling (CRPM). CRPM applies actual requested product definition (ARPD) as extension to currently applied product model. In this paper, the new method and entities as well as engineering objective definition and product behavior handling are explained as main contributions by the proposed modeling.

Abstract: To improve the convergence rate of model-free learning adaptive controller (MFLAC) and decrease difficulty of parameters choice in control law, a new design method of MFLAC is presented. The controller proposed in this paper is designed based on pseudo gradient concept with solution by introducing multi-innovation method. In order to illustrate the effectiveness of the proposed method，we have given an example.

Abstract: The Model Reference Adaptive Controllers (MRAC) of dynamic systems have the purpose of simulating the dynamics of a reference system for an external control loop while guaranteeing precise tracking of a prescribed nominal trajectory. Such controllers traditionally are designed by the use of some Lyapunov function that can guarantee global and sometimes asymptotic stability but pays only little attention to the primary design intent, has a great number of arbitrary control parameters, and also is a complicated technique. The Robust Fixed Point Transformations (RFPT) were recently introduced as substitutes of Lyapunov’s technique in the design of adaptive controllers including MRACs, too. Though this technique guarantees only stability (neither global nor asymptotic), it works with a very limited number of control parameters, directly concentrates on the details of tracking error relaxation, and it is very easily can be designed. In the present paper this novel technique is applied for the MRAC control of a 3 Degrees-of-Freedom (DoF) aeroelastic wing model that is an underactuated system the model-based control of which attracted much attention in the past decades. To exemplify the efficiency of the method via simulations it is applied for PI and PID-type prescribed error relaxation for a reference model the parameters of which considerably differ from that of the actual system.

Abstract: Aiming at the characteristics of the all-electric logistics machines, the paper established the multi-disciplinary mathematical models of the electric power steering system (EPS) and set up a semi-physical simulation platform based on dSPACE for the multi-domain system of EPS. The robust control method was applied to improve the EPS system for the stable actual output of the EPS multi-domain system in the uncertainty. By the real-time semi-physical simulation, the control features of the improved EPS multi-domain system were analyzed so as to increase the robustness and adaptability of the EPS system.

Abstract: The stationary response of Duffing-van der Pol oscillator with time-delayed feedback control under wide-band noise excitations is studied. First, the time-delayed feedback control force is expressed approximately in terms of the system state variables without time delay. Then, the averaged Itô stochastic differential equations for the system are derived by using the stochastic averaging method. Finally, the stationary response of the system is obtained by solving the Fokker-Plank-Kolmogorov equation associated with the averaged Itô equation. The effect of time delay in feedback control force on the response is analyzed. The theoretical results are well verified through digital simulation.

Abstract: In this paper, an adaptive learning control (ALC) based on the repetitive tuning of the dominant energized parameters is proposed to minimize the torque ripple and energy conversion loss of the switched reluctance motors (SRMs). A simple and effective modulating strategy on excitation commutation angles and duty cycle is repeatedly applied to the SRM until desired performance tracking is achieved. According to the load variation, an initial suboptimum operating condition, derived from the expert’s knowledge and experience as well as accurate magnetization characteristics of the SRM, is offered to promise a well starting dynamics, learning ratio and convergence speed. Driving performance enhancement can be obtained on account of the best programming of phase current profiles via the well-tuned parameters to make minimum energy conversion loss and torque ripple reachable. Evolution and simulation based on the DSP-based processor has been developed to realize the proposed control approach and setup the SRM drive system. Experimental results on a 4-phase 8/6 pole SRM are given to show the effectiveness and performance enhancements of the presented control mechanism.

Abstract: In this paper, we conducted intensive research on the application of DEA-DA model and method on quality control in production process, and put forward the applied train of thought and the measure. Otherwise we chose 10 kinds of equipment to verify the model. At last, we put forward the measure to distinguish the well quality product from newcome ones and determined a newcome sample’s quality well or not.

Abstract: According to the time delay in industrial control objects, the PID neural network control method and Smith predictor compensation principle are combined to form the PIDNN-Smith control algorithm. Namely, in Smith predictor compensation control system, the PIDNN as the controller, using the PIDNN neural network on-line self-learning function to tune weight value, make the implicit layers of proportion, integral and differential neurons to achieve the best combination, thus overcome disadvantages of the conventional PID algorithm that does not adapt to the control of large delay system and conventional Smith algorithm depended too much on model precision of the defect. Simulation results show strong robustness and good control quality of this algorithm.

Abstract: This paper presents a brain computer interface to control an intelligent wheelchair based on EEG signals. EEG signals are collected and analysed by using Emotiv. After signal processing, the events about motor imagery are generated and the commands are designed and transmitted to intelligent wheelchair. Finally, the system realizes the motion control of the intelligent wheelchair through subject's motor imagery of left hand, right hand and legs. Besides, the events about motor imagery are expressed in the form of virtual movement as the feedback of system. The Experiment results show that the control system is feasible and has better stability. It establishes a basis of practical application for EEG control intelligent wheelchair.

Abstract: This paper present the overall design of measurement and control system of digital display pump test stand based on IPC. IPC and NI LabVIEW were adopted in this system to realize many functions such as the rotation speed regulation of driving axis on pump test stand, measurement of fuel injection quantity and oil temperature, measurement and control of oil pressure, and so on.