Authors: Shrabani Sahu; Sasmita Behera
Addresses: Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla, 768018, India ' Department of Electrical and Electronics Engineering, Veer Surendra Sai University of Technology, Burla, 768018, India
Abstract: This paper presents an improved technique to regulate the pitch angle of a wind turbine benchmark model (WTBM) implemented in MATLAB SIMULINK environment. As the model is nonlinear in nature, to accomplish the desired power production level in the constant power region, an adaptive controller is implemented. It takes care of the pitch control with online estimates of the plant parameters that are susceptible to change due to disturbances. Here, the controller design is based on the pole-placement methodology for a self-tuning controller (STC). Location of the desired pair of poles is defined by the damping factor and natural frequency. The selection of these parameters is performed by utilising particle swarm optimisation (PSO), constriction factor-based PSO (CFBPSO), genetic algorithm (GA), modified grey wolf optimisation (MGWO) and improved sine cosine algorithm (ISCA) and the results are put side by side for a consistent set of algorithm parameters. A Monte Carlo simulation has been carried out for comparison of the algorithms. The achieved results show the improvement in performance by employing ISCA for pole-placement of an adaptive STC controller.
Keywords: pitch control; adaptive control; pole-placement; particle swarm optimisation; PSO; genetic algorithm; GA; modified grey wolf optimisation; MGWO; improved sine cosine algorithm; ISCA.
International Journal of Swarm Intelligence, 2019 Vol.4 No.2, pp.111 - 126
Received: 15 Sep 2018
Accepted: 12 Feb 2019
Published online: 12 Dec 2019 *