Control engineering

Adaptive neuro fuzzy inference system

PID controller

Computer science

Power station

Agronomy

Fuzzy control system

Biology

Electrical engineering

Control theory (sociology)

Fuzzy logic

Controller (irrigation)

Control (management)

Temperature control

Engineering

Artificial intelligence

Applied Energy

In Concentrated Solar Power Plants, steam turbines controlled with standard Proportional Integrative Derivative (PID) methods may suffer from performance downgrading in power generation when the steam conditions deviate from nominal ones. An enhancement of standard steam turbine controller can be the key to achieve optimal performance also in non-nominal steam conditions. This paper presents the improvement of the PID control concept by exploiting Fuzzy Logic, an artificial intelligence technique that allows taking into account the human experience and knowledge on the system behavior. A real Concentrated Solar Power Plant has been modeled focusing on generated power control loop, its stability and performance analysis, knowledge useful to design a Fuzzy Inference System. A fuzzy logic controller is proposed to continuously adapt the PID parameters, to improve the steam turbine governor action. Its performance is compared to the classical PID tuned according to three different approaches. The fuzzy logic PID ...

An adaptive Fuzzy logic-based approach to PID control of steam turbines in solar applications