Boiler-turbine control system design using a genetic algorithm
نویسندگان
چکیده
منابع مشابه
Boiler-Turbine Control System Design Using a Genetic Algorithm - Energy Conversion, IEEE Transactions on
Abstrac t This paper discusses the application of a genetic algorithm to control system design for a boiler-turbine plant. In particular we study the ability of the genetic algorithm to develop a proportional-integral (PI) controller and a state feedback controller for a non-linear multiinput/multi-output (MIMO) plant model. The plant model is presented along with a discussion of the inherent d...
متن کاملPredictive Control of a Boiler-turbine System
In this work, multiple model control of a boiler-turbine system is studied. Multiple linear local models are obtained through piecewise linearization. A bank of Kalman filters is constructed using these local models. States and model parameters used for future predictions within the predictive control are updated online through computation of probability density functions. Simulations show that...
متن کاملOffset-free fuzzy model predictive control of a boiler-turbine system based on genetic algorithm
This paper presents a model predictive control (MPC) strategy based on genetic algorithm to solve the boiler–turbine control problem. First, a Takagi–Sugeno (TS) fuzzy model based on gap values is established to approximate the behavior of the boiler–turbine system, then a specially designed genetic algorithm (GA) is employed to solve the resulting constrained MPC problem. A terminal cost is ad...
متن کاملAerodynamic Optimal Design of Wind Turbine Blades using Genetic Algorithm
Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an obj...
متن کاملAerodynamic optimal design of wind turbine blades using genetic algorithm
Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Energy Conversion
سال: 1995
ISSN: 0885-8969
DOI: 10.1109/60.475849