Applied Mechanics and Materials Vols. 380-384

Abstract: Focusing on the fluid flow control in oilfield piezoelectric control layered production allocation, an identification-free adaptive control strategy with expert amendment is proposed to solve the problem that it is hard to be controlled due to large time delay, nonlinearity, time variation and difficulty in establishing mathematical model of regulation process. In this control strategy, according to the past and current process information, the process output and trend can be estimated based on expert rules to amend the output of the identification-free adaptive control. The simulation result shows that this control strategy has good robustness and perfect fluid flow control for piezoelectric control layered production allocation process.

Abstract: This paper studies and designs of a car automatic driving control system, the system is a dual-core FFT processor based on the pipeline structure CORDIC algorithm design is based on the voice signal spectrum analysis, and through the to extract MFCC voice characteristics Template Library instruction data in comparison, thereby generating a control signal, and ultimately by the FPGA control the wireless communication module to achieve the basic operation of the voice control of the car commonly. Download test results show that the system can be done in real-time response to voice commands, the system has a simple hardware structure, real-time, high reliability, and can be widely used in the field of voice recognition control systems in DE2 experimental development platform .

Abstract: Aiming at a kind of state unpredictability of the fuzzy input large time-delay systems, the author designs a fuzzy observer with the application of Parallel Distributed Compensation (PDC), puts forward the PID control method based on the fuzzy observer, and provides a new sufficient condition which guarantees the asymptotic stability of fuzzy large time-delay system. With the employment of generalized Lyapunov function and linear matrix inequality, this paper proves the asymptotic stability of fuzzy input large time-delay systems and offers the separation design algorithm to control and observe gain matrix. The simulation results of the experiment further verify the effectiveness of the methods and conditions raised in this paper.

Abstract: The current theory of nonlinear systems is still not perfect. The modeling and control of nonlinear system problem has always been the difficulty. In a variety of methods of its study, fuzzy system theory because of having the language descriptive way similar to the human mind, can obtain and deal with the qualitative information intelligently. The theory itself also has non-linear characteristics. Therefore the use of fuzzy systems theory to establish the fuzzy model of nonlinear system can well describe the nonlinear characteristics. T-S fuzzy systems, due to the combination of the good performance of the fuzzy system to deal with nonlinear problems with the simple linear expressions, are not only suitable for modeling the nonlinear system, but also use T-S fuzzy model and the linear control theory method to design the controller. So it has been widely used in nonlinear system control problems, and has also greatly developed the T-S fuzzy system theory, appearing a lot of methods of structural and parameter identification. However, this study of T-S fuzzy rules makes us have to face the difference of different ways to select the number of rules as well as online self-adaptability of the number of rules which off-line method lacks when using T-S fuzzy model to deal with nonlinear system modeling and control problem. In view of this, this paper researches on modeling and controlling of complex nonlinear systems based on TS model from different perspectives.

Abstract: In recent years, it is a very active direction of research to use neural network to control computer. Neural network is a burgeoning crossing subject, and the way it processes information is different from the past symbolic logic system, which has some unique properties: such as the distributed storage and parallel processing of information, the unity of the information storage and information processing, and have the ability of self-organizing and self-learning. And it has been applied widespread in pattern recognition, signal processing, knowledge process, expert system, optimization, intelligent control and so on. Using neural network can deal with some problems such as complicated environment information, fuzzy background knowledge and undefined inference rules, and it allows samples to have relatively large defects and distortion, so it is a very good choice to adopt the recognizing method of neural network. This thesis discusses the application of neural network in computer control.

Abstract: This paper describes the basic requirements of the Static Synchronous Compensator (STATCOM), analyze the specific structure of the STATCOM control system and the function of various parts can be achieved, analysis Linear PID control, Linear optimal control , Adaptive control, Differential geometry control and Intelligent Control which commonly used in the STATCOM control system. Describes two specific control methods of the STATCOM: direct current control and indirect current control.

Abstract: According to the process characteristics of the medium thickness steel plate temperature control in the heat treatment furnace, a new steel temperature predictive model of heat treatment furnace based on particle swarm optimization algorithm and genetic algorithm to optimize the parameters of regression support vector machine (PSO-SVR and GA-SVR) is established. Based on the new model, the design steps are given. The very good forecast effect is obtained when on-site production process data are taken as the training samples to train the model, and then the data samples of model test are selected to simulate it. The comparison of the PSO-SVR and GA-SVR forecast results indicates that GA-SVR is able to obtain better regression result and stronger predictive ability.

Abstract: This paper illustrates the benefits of a fuzzy adaptive control approach applied to a Chinese medicine sugar precipitation process. A model dedicated to Chinese medicine sugar precipitation was designed, without consideration of crystal size distribution. Fuzzy adaptive robust control algorithm was proposed for the uncertain nonlinear systems. The on-line calculation amount of fuzzy logic system is relatively less, the convergence rate and accuracy are better, and the output of system tracks the setpoints well, even in presence of disturbances and modeling error. The algorithm was applied to the precipitation control of sucrose-glucose mixed solution. Simulation results supported the validity of the proposed algorithm.

Abstract: A dynamic model dedicated to Chinese medicine sugar precipitation was designed, without consideration of crystal size distribution. A batch crystallizer was extended for studying the crystallization kinetics. Sliding mode adaptive control algorithm was proposed for the uncertain nonlinear systems. The scheme is robust for the uncertainties and overcomes the chattering in the input of sliding mode control in presence of disturbances and modeling error. It was applied to the precipitation control of sucrose-glucose mixed solution, and the validity of the proposed algorithm was supported by simulation results.

Abstract: The strategy of temperature control was proposed to achieve the combustion process of steel rolling heating furnace which based on PID algorithm of self-tuning fuzzy parameter with step by step heating furnace of steel rolling as research object and in view of the characteristics of the nonlinear system of uncertainty, many disturbances, big delay etc in the combustion process of heating furnace,starting from the practical engineering in this paper. The method adopts self-calibration of the fuzzy parameters of direct proportion, integral and differential (PID) control. The results show that this strategy of control has some advantages. For example: the speed of response is faster than traditional PID controller, the capability of anti-jamming is stronger than traditional PID controller and the efficiency and quality of the heating furnace combustion process is improved.