In order to Solve the problems of precise burden in many industrial production process, a new microcomputer burden control system is proposed in this paper based on self-learning control and AC frequency converter technique.
According to actual field instance of enterprise, a kind of real time supervision and management system based on C/S structure for industrial production process is presented.
With the fast development of the modern industry, the scale of control expends continually in industrial production process, the degree of complexity increases continually, the process of technics intensifies continually, as a result the request of the process control and the production management is more and more high.
The research result is mainly applied to the modern measurement and control field to control and manage the three-coordinate measuring machine, which improves the precision of system and the stability of measurement and offers reference for the improvement and optimization of the automatic detecting instrument in the industrial production process.
The PID regulator is one of the most important industrial controlinstruments. It is widely used in industrial production process control. Although itis proved that current PID regulator is a optimal regulator for processes character-ized by Ke~(-TS)/(TS+1) or Ke~(-TS)/(T_1S+1)(T_2S+1), yet it exposes some disad-vantages.
It is demonstrated through applications that the controller can satisfy actual demand of industrial production process under 50% variations of work conditions.
This paper describes how to use Web technology to monitor industrial production process,discussing the primary structure and principle and the key technology adopted in the supervisory system.
The method of combining the state feedback of the modern control theory and the traditional PID to set up a double degree-of-freedom control system is presented. And the Smith predictor to eliminate the delay in the industrial production process is used.
In order to develop an industrial production process of D-lysine from L-lysine, successive chemical racemization and a microbial asymmetric degradation were investigated in a pilot scale.
A series of samples was taken from different stages of an industrial production process for tomato purée and was analysed for the contents and composition of the non-starch polysaccharides (NSP).
This paper describes an capillary electrophoresis (CE) method used to quantify both succinic acid and levulinic acid in an industrial production process.
The PID regulator is one of the most important industrial controlinstruments. It is widely used in industrial production process control. Although itis proved that current PID regulator is a optimal regulator for processes character-ized by Ke~(-TS)/(TS+1) or Ke~(-TS)/(T_1S+1)(T_2S+1), yet it exposes some disad-vantages. For example, it's functions are incomplete and it's turning parameters arecoupled with each other. Furthermore, these regulators cannot adapted to nonlinearor ...
In order to Solve the problems of precise burden in many industrial production process, a new microcomputer burden control system is proposed in this paper based on self-learning control and AC frequency converter technique. The design method and analysis of the control system are giveno The new type ZK-1 burden mixing control system has been applied in the industrial practise, and the actual result shows that the dynamic accuracy of the new burden control system has been improved ob...
In this paper we propose a new fuzzy genetic algorithm to solve membershipfunctions selflearning problems of fuzzy controllers. The performance of a fuzzy controller depends to some extent on the choice of the membership functions. However, the adjustment of parameters of the membership functions is by trialanderror. So it is obvious that application of fuzzy controllers to a practical industrial production process is difficult. Some methods, such as neural networks and genetic algorithm, ...