A system for tuning the operation of a gas turbine is provided based on measuring operational parameters of the turbine and directing adjustment of operational controls for various operational elements of the turbine. A controller is provided for communicating with sensors and controls within the system. The controller receiving operational data from the sensors and comparing the data to stored operational standards to determining if turbine operation conforms to the standards. The controller then communicates selected adjustment in an operational parameter of the turbine. The controller then receives additional operational data from the sensors to determine if an additional adjustment is desired or is adjustment is desired of a further selected operational parameter.

Automated tuning of gas turbine combustion systems

In this paper, performance-based parameter tuning method of model-driven Two-Degree-of-Freedom PID (MD TDOF PID) control system has been proposed to enhance the control performances of a process. Known for its ability of stabilizing the unstable processes, fast tracking to the change of set points and rejecting disturbance, the MD TDOF PID has gained research interest recently. The tuning methods for the reported MD TDOF PID are based on internal model control (IMC) method instead of optimizing the performance indices. In this paper, an Integral of Time Absolute Error (ITAE) zero-position-error optimal tuning and noise effect minimizing method is proposed for tuning two parameters in MD TDOF PID control system to achieve the desired regulating and disturbance rejection performance. The comparison with Two-Degree-of-Freedom control scheme by modified smith predictor (TDOF CS MSP) and the designed MD TDOF PID tuned by the IMC tuning method demonstrates the effectiveness of the proposed tuning method.

Performance-based parameter tuning method of model-driven PID control systems.

Provided herein is a system and method for tuning the operation of a turbine and optimizing the mechanical life of a heat recovery steam generator. Provided therewith is a turbine controller, sensor means for sensing operational parameters, control means for adjusting operational control elements. The controller is adapted to tune the operation of the gas turbine in accordance preprogrammed steps in response to operational priorities selected by a user. The operational priorities preferably comprise optimal heat recovery steam generator life.

Optimization of gas turbine combustion systems low load performance on simple cycle and heat recovery steam generator applications

PID control is widely used as a basic control technology in industries today, but tuning of PID control systems is not always easy. Based on model-driven control concept, we developed a model-driven PID control system, named MD PID controller, combining with PD local feedback, IMC and set point filter. This paper provides a brief introduction of new model driven two-degrees of freedom PID control system, named MD TDOF PID controller, and shows some case studies results. We have confirmed that MD TDOF PID can show better control results compared with conventional PID control.

Model-driven PID control system in single-loop controller

Provided herein is a method for automated control of the gas turbine fuel composition through automated modification of the ratio of fuel gas from multiple sources. The method includes providing first and second fuel sources. The method further includes sensing the operational parameters of a turbine and determining whether the operational parameters are within preset operational limits. The method also adjusting the ration of the first fuel source to the second fuel source, based on whether the operational parameters are within the preset operational limits.

Automated tuning of multiple fuel gas turbine combustion systems

PID control systems are still used as a basic control technology in today's industries. However, there are issues on control performances for some controlled processes, such as long dead-time processes and unstable processes. In order to improve the control performances of PID Control systems, we proposed a new model-driven PID control system at the first ISA/JEMIMA/SICE Joint Technical Conference (2001) in Tokyo, which is combined with the following control blocks; PD feedback block, internal-model control (IMC) block and set-point filter block, based on the model driven control concept proposed by Kimura at the CDC2000 in Sydney. In this paper, the model-Driven PID control system and the design method are described and practical effectiveness, including two degrees of freedom properties, are shown through several case studies.

A model-driven PID control system and its case studies

In this paper, a newly developed PID controller tuning system is presented. This system has various functions to tune PID control loops including: 1) input signals generation for system identification; 2) the model transfer function estimation; 3) PID controller parameters design using the frequency region model matching method; and 4) the designed closed-loop system validation (closed-loop simulations, analysis of frequency response, etc.). This system was applied to a flue gas temperature control system in a gas turbine power plant. The results of the experiments to the actual process show that this tuning system was effective in improving controllability and reducing the time significantly for proper tuning of control loops.

M. Yukitomo

Papers

A model-driven PID control system and its case studies

A new PID controller tuning system and its application to a flue gas temperature control in a gas turbine power plant