Applied Mechanics and Materials Vols. 336-338

Abstract: The conventional elevator group control system is based on the button as a response and where to dispatch an elevator car. There is one big problem that when system dispatches the elevator to that button responding floor, but no passenger there and causing a waste of time and energy. In this paper, we present a novel intelligent elevator group control algorithm based on corridor passenger detection and tracking. In the above proposed system, after the corridor passengers are detected using binocular-cameras, Unscented Kalman Filter (UKF) is introduced to improve robustness and accuracy of corridor passenger motion tracking. At same time, a novel intelligent elevator group control strategy based on corridor passenger detection and tracking is proposed to improve the performance and transport efficiency of the elevator. Compared with the traditional elevator group control system, the proposed system has potential advantages in minimizing passengers’ waiting time and saving electronic energy. The final experimental results show the validity of our method under simulation condition.

Abstract: The cucumber is one of the main crop planting in greenhouse,but the production of the cucumber have been restricted by the shortage of the agricultural experts.The design of the fuzzy expert system in this paper.Using computer simulation human experts to control greenhouse cucumber growing environmental temperature,humidity,light intensity.First turn on the sensor detection by the temperature,humidity,light intensity data sent to the computer,then put these data conversion for deviation value and fuzification.Through consulting a large number of documents according to the experience make fuzzy rules.Finally,in the rule base retrieval the fuzzification of data after the corresponding fuzzy rules,and output the executive strategy .

Abstract: This paper presents a fuzzy adaptive PID control algorithm for the multi-channel temperature control system of injection molding machine. The article describes the structure and control rules of fuzzy adaptive PID controller and the hardware and software implementations of the temperature control system. The experimental result shows that the systems temperature control method has a good control effect on such kind of time-varying hysteretic complex temperature control system of injection molding machine, and it can finally reach the temperature control accuracy of ±1°C within the measuring range of 0~400°C.

Abstract: Dynamic inversion and singular perturbation methods are employed for medium-range air-to-air missile to obtain a near-optimal midcourse guidance law. The midcourse guidance stage is separated into two phases. In phase 1, which the rocket engine working, a dynamic inversion guidance law is used to guide the missile flight along a nominal trajectory. In the second gliding phase, singular perturbation technique is employed to develop a guidance law which maximum terminal specific energy. A terminal correction is made to ensure the seeker intercept the target. The result obtained from numerical simulation shows that, the guidance law can conserve energy for terminal interception, and the flight path error is small enough at the end of midcourse stage.

Abstract: In order to make the controlled object have better dynamical characteristics, through introducing the differential item of error into optimal performance index function of tracking error, an improved algorithm of model predictive control is discussed in this paper. The theoretical analysis and Matlab simulation results show that it has better controlled quality and stronger robustness for closed-loop system.

Abstract: In order to solve the question of cooperative searching target in uncertain environment, this paper comes up with a algorithm. Firstly it analysis the uncertainty about measure of UAV sensors and environment, we built the information model of uncertain environment. Then, considering about UAV physical properties and optimal search theory, it designs the award function, gives the path planning algorithm of cooperative searching based on the Bayes theory. The algorithm ensures that the UAV formation could search unknown environment as far as possible, evade the known environment and avoid no-fly zone completely. Finally, the simulation proves the rationality and effectiveness of algorithm.

Abstract: Process control objects mathematical model is difficult to establish. Based on humans thinking mode, control experience, action and intuitional reasoning, Human simulation intelligent control (HSIC) avoids all kinds of difficult problems that we are faced with as seeking the answer of complicated model or establishing brain model, and so there are some advantages for HSIC on process control. In this paper, a detailed algorithm is described for process control by using the method of HSIC. Finally, the results of practical application have proved that HSIC is feasible and effect for process control.

Abstract: Time delays are tremendous difficulties to system stability analysis and controller design, and often cause system instability or even lead to the deterioration of the system performance. The optimal control law is solved for a class of nonlinear discrete affine systems with multiple time delays. The systems HJB equation of optimal control is solved by adaptive dynamic iterative algorithm and minimized system performance index function, given the convergence proof of the algorithm. Neural networks are adopted to realize iterative algorithm for optimal control law of time delay systems. The simulation results show that the adaptive dynamic programming can solve for the optimal control of delay nonlinear systems, make the system to achieve stability.

Abstract: This paper aims at exploring a fuzzy based adaptive dynamic surface control (DSC) for an inverted pendulum system that is mounted on a moveable cart. Incorporating DSC technique into fuzzy logic systems (FLSs), it is shown that the design procedure and the computational burden can be greatly reduced and the system tracking error converges to an arbitrary small residual set. The simulation results show the efficiency of the proposed scheme.

Abstract: This Paper Provides a Speedcontrolling Method Based on the Intelligent PID Algorithm for Robotic Fish. by this Method, we can get the Appropriate Speed at Every Moment during the Robotic Fish Moving from Current Position to the Destination. Using it, we can Design and Optimize the Strategy when the Robotic Fish Head the Ball to the Target Point. Besides, we did many Experiments on Urwpgsimd Simulator Platform Using PID and Intelligent PID Algorithm Respectively. Variablecontrolling Approach is Applied to this Comparison. Lastly, the Result Shows that Robotic Fish can Head the Ball more Quickly and Steadily Using Intelligent PID Algorithm. And many Problems, such as Dropping the Ball and Deviating from the Target Point, are Avoided.