Realistic systems generally are systems with various inputs and outputs also known as Multiple Input Multiple Output (MIMO). Such systems usually prove to be complex and difficult to model and control purposes. Therefore, decomposition was used to separate individual inputs and outputs. A PID is assigned to each individual pair to regulate desired settling time. Suitable parameters of PIDs obtained from Genetic Algorithm (GA), using Mean of Squared Error (MSE) objective function
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
Tuning of PID controller parameters for an optimized control performance is a multi-objective optimi...
Abstract — Proportional-Integral-Derivative (PID) control is the most commonly used algorithm for in...
Realistic systems generally are systems with various inputs and outputs also known as Multiple Input...
Genetic Algorithms (GAs) are innovative search algorithms which imitate the principles of natural ev...
For multiple input-multiple output (MIMO) systems, the most common control strategy is the linear qu...
Nowadays, wind turbine energy has an increased importance in electrical power applications since whe...
This project is about the design of PID controllers and the improvement of outputs in multivariable ...
Controller tuning is one of the important aspect in industry. With a good tuning method, it can ensu...
Natural evolution is mimicked by Genetic Algorithms (GAs) which is a stochastic global search method...
It is known that PID controller is employed in every facet of industrial automation. The application...
In this paper, we have optimised the parameters of Proportional Integral and Derivative (PID) contr...
This paper presents the implementation of PID controller tuning using two modern heuristic technique...
Designing a gas turbine from scratch has always been an extremely laborious task in terms of obtaini...
As the proportion of power generation using renewable energy increases, it is important to improve t...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
Tuning of PID controller parameters for an optimized control performance is a multi-objective optimi...
Abstract — Proportional-Integral-Derivative (PID) control is the most commonly used algorithm for in...
Realistic systems generally are systems with various inputs and outputs also known as Multiple Input...
Genetic Algorithms (GAs) are innovative search algorithms which imitate the principles of natural ev...
For multiple input-multiple output (MIMO) systems, the most common control strategy is the linear qu...
Nowadays, wind turbine energy has an increased importance in electrical power applications since whe...
This project is about the design of PID controllers and the improvement of outputs in multivariable ...
Controller tuning is one of the important aspect in industry. With a good tuning method, it can ensu...
Natural evolution is mimicked by Genetic Algorithms (GAs) which is a stochastic global search method...
It is known that PID controller is employed in every facet of industrial automation. The application...
In this paper, we have optimised the parameters of Proportional Integral and Derivative (PID) contr...
This paper presents the implementation of PID controller tuning using two modern heuristic technique...
Designing a gas turbine from scratch has always been an extremely laborious task in terms of obtaini...
As the proportion of power generation using renewable energy increases, it is important to improve t...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
Tuning of PID controller parameters for an optimized control performance is a multi-objective optimi...
Abstract — Proportional-Integral-Derivative (PID) control is the most commonly used algorithm for in...