Title :
Generalised predictive control of input-constrained nonlinear processes based on numerical methods
Author :
Geng, G. ; Geary, G.M.
Author_Institution :
Sch. of Eng., Durham Univ., UK
Abstract :
A generalised predictive control algorithm based on numerical methods has been developed to cope with some of the practical control problems such as input constraints, rate limits and nonlinearities of industrial processes. Using numerical methods, different cost functions can be minimised to achieve the desired control performance without any significant change to the control algorithm. The results from a system used for an air-handling plant are given in order to demonstrate the potential of this algorithm
Keywords :
industrial control; nonlinear control systems; numerical analysis; predictive control; air-handling plant; cost functions; generalised predictive control algorithm; industrial processes; input constraints; input-constrained nonlinear processes; numerical methods; rate limits; Band pass filters; Cost function; Electrical equipment industry; Equations; Error correction; Industrial control; Prediction algorithms; Predictive control; Robust control; Three-term control;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3026-9
DOI :
10.1109/IECON.1995.483856
