KEYWORDS: Control systems, Computer simulations, Adaptive control, Systems modeling, Complex systems, MATLAB, Process control, Data modeling, Algorithms, Scientific research
For large delay problems that exist in industrial process control we put forward the improved model-free adaptive control algorithm. The advantage is that the model does not require the specific object ,the system can be controlled just by the output and input. In the improved algorithm by introducing a constraint entry of the rate of change of the output with large time-delay to reduce the impact of large delay on the system. Verify that the improved algorithm can control the delay system effectively by MATLAB and SMPT-1000 simulation in the system response speed and system stability.
Aiming at the problems of low experimental efficiency and little traceable data in big data in the mechanical and electrical training rooms of higher vocational colleges, the use of Internet technology, hardware-in-the-loop controller (HIL), CAD model data technology, etc. It is an open and shared digital design and simulation intelligent training platform that combines virtual and real. The construction of the smart training platform adopts a combination of simulation experiments and physical training, which can manage the training and virtual simulation debugging of hardware equipment at the same time. The training methods are rich and flexible, which can not only drive students to train independently, but also allow teachers to achieve Intelligent management and control of education provides platform support for improving students' comprehensive skills and teachers' teaching quality, so as to realize the sharing of practical training teaching resources inside and outside the school, and meet the needs of multi-regional, multi-school and multi-disciplinary experimental teaching.
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