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Based on biological immune principle and fuzzy theory, this paper presents an intelligent fuzzy immune PID control scheme to solve the control difficulties of industry process with multi-variables. The least square algorithm was used for offline optimization to form immune feedback control system. The application on cement rotary kiln control was discussed in detail as an example. The rotary kiln...
This paper presents a fuzzy neural network control system for the process of cement production with rotary cement kiln. Since the dynamic characteristics and reaction process parameters are with large inertia, pure hysteresis, nonlinearity and strong coupling, a fuzzy neural network controller combining both the advantages of neural network and fuzzy control is applied. This fuzzy neural network controller...
The state-space analysis and synthesis part of automatic control theory is abstract in theory, difficult to calculate and hard to understand. In order to change the former teaching way and carry on teaching revolution, the experimental platform is designed. In this experimental platform, MATLAB 7 is adopted to realize the interface program design. The platform includes the main content of state-space...
In the process of cement production, the rotary kiln calcination is the most important technology link which includes complicated physical and chemical reaction process with large inertia, pure hysteresis, nonlinearity and strong coupling characteristics. It is hard to derive the exact mathematical model and can not reach satisfied results with conventional control algorithms. Now, the cement rotary...
In this paper, an Eye-in-Hand robotic system with laser pointer is developed to detect, grasp, and assemble a planar object on a main body in robotic manufacturing systems. This paper is focused on detecting the object and moving the end effector to a position where a pump can perfectly suck up the object. A switching control of image-based visual servoing (IBVS) is designed to control the pose of...
An approach of fuzzy logic and genetic PI is proposed to regulate the number of vehicles entering a freeway entrance point. First, the freeway traffic flow model is built, and the objective of ramp metering is determined. In conjunction with the advantages of fuzzy logic in processing language information and PI control in processing error, a fuzzy-PI mix controller is then designed, and genetic algorithm...
Based on the adaptive observer, this paper is concerned with the problem of robust fault identification for system whose time-varying delay is in a range. Not only can this adaptive observer estimate system state, but also does it identify the fault. The Hinfin tracking performance criteria is proposed to analyse the design methods and stable conditions of adaptive observer, which is then transformed...
There are many uncertainties and disturbances in real dynamics system of spherical stepper motor that make traditional control methods with lower precision. Based on the non-linear system dynamic model under continuous trajectory tracking mode, the robust neural network control scheme is presented to eliminate uncertainties to improve the trajectory tracking robust stability and overcome the undesired...
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