Title: Model Free Adaptive Predictive Control for Main Stream Pressure System of Power Plant
Abstract: This paper is concerned with an improved model free adaptive predictive control (MFAPC) schemer. The controlled system is linearized dynamically to build a predictive model by using the notion of pseudo-partial-derivative. The new control method is applied to the main steam pressure cascade control system, which is a typical controlled process with large time constant and large time-delay parameters in a thermal power plant. The main control loop is implemented by the MFAPC algorithm and the inner control loop is implemented by a conventional PID controller. Simulation results have convinced that the MFAPC-PI cascade control method has good adaptability to overcome disturbances and track point.