Fuzzy set points & predicitve functional control for implicit regulator calculation of MIMO-systems

Controlling states or outputs of technical processes to exact set points is not necessary in some technical applications. It may be sufficient to keep the state variables in defined regions. This fact can be utilized to formulate set point intervals. Hence the chance to reduce variations in manipulated signals and to increase the durability of actuators is offered. This paper presents an approach of using set point intervals for the reduction of variations of the manipulated signals. We introduce a combination of fuzzy decision making and predictive functional control for time-discrete state-space models. The performance of the proposed controller approach will be demonstrated and compared to other controllers at a commonly known three-tank system.