Title: Application of an improved augmented Lagrangian algorithm to the tuning of robust PID controller for hydraulic turbine governing system
Authors: Xuesong He; Changyu Liu; Hongkui Dong; Qiurong Yan
Addresses: School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China ' School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China ' Yunnan Electric Power Test and Research Institute, Yunnan, 650217, China ' School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
Abstract: The tuning of a proportional-integral-derivative (PID) controller for hydraulic turbine governing system is a constrained engineering problem. The PID control parameters must be adjusted to capture the requirements of achieving satisfactory transient behaviour, robust stability, and disturbance rejection, which are all essential aspects for hydraulic turbine control. An optimal tuning method for robust PID controller based on the augmented Lagrangian (AL) algorithm and particle swarm optimisation (PSO) is presented in this paper. The AL is extended by incorporating the PSO in a seamless manner. Moreover, it introduces a new updated strategy for the penalty factor and embeds a local search procedure within the algorithm framework to enhance the search capability and accuracy, so that the optimal control parameters can be reliably obtained from the search space. The results of the simulation experiment demonstrate the effectiveness of this improved AL algorithm in producing a robust PID controller that provides system stability over a wide range of operating conditions.
Keywords: hydraulic turbines; turbine governing systems; PID control; robust stability; augmented Lagrangian algorithm; particle swarm optimisation; PSO; controller tuning; local search; optimal control; simulation; turbine control.
International Journal of Modelling, Identification and Control, 2015 Vol.23 No.2, pp.181 - 191
Available online: 14 Apr 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article