Application research on auto-disturbance rejection controller in superconducting magnetic energy storage

Abstract

As a new control strategy, auto-disturbancerejection controller (ADRC) has been introduced in the power system successfully. The controller is free of planting model foundation in the design procedure and realized simply. In this paper, a ADRC used for superconducting magnetic energy storage (SMES) unit connected to a power system is proposed. Purpose of designing such controller is to improve the stability of the power system in a relatively wide operation range. The design procedure takes into account the active and reactive power cooperative control scheme. As well as the hardware design and implementation of the proposed controller is presented. At the same time, simulation is carried out to investigate the performance of the proposed controller. Results show not only satisfactory control performance but also good robustness of the controller. The feasibility of the controller is also testified.

Tuning of Nonlinear PID Controller for TRMS Using Evolutionary Computation Methods

“…5, statistical performance of GSA. Our research shows the combination of elevation and azimuth i.e., vertical and horizontal which is better than the errors reported in previous researches [15][16][17], where the error values are reported separately (Vertical or Horizontal). Hence from the results it is observed that by optimizing the α and δ, the results are better than in previous researches [12,13] reported without optimizing α and δ. PSO converges faster in the least optimal parameter in all the cases.…”

“…Utilizing Nonlinear PID controller for tuning Linear Piezoelectric motors & Superconducting Magnetic Energy Storage have been discussed [15,16] and their research reveals that Nonlinear PID controller shows better performance than conventional linear PID controller. But the nonlinear constants used in the above research findings are fixed and not optimized [14][15][16]. Therefore in our study, tuning of Nonlinear PID controller for MIMO systems is considered and EC methods are used to optimize the nonlinear PID controller parameters.…”

Parameter Selection Guidelines for a Parabolic Sliding Mode Filter Based on Frequency and Time Domain Characteristics

“…This filter was independently proposed by Han and Wang [17] and Emaru and Tsuchiya [18,19] (see also [20] for some discussion). After that, some evaluation results of their filter [21][22][23] and its applications [24][25][26][27][28][29] were reported. The main advantage of their filter is that it realizes finite time convergence of the output to the input value when a constant input is provided.…”

Tuning Guidelines for an Adaptive-Gain Parabolic Sliding Mode Filter

“…In addition, the filter does not require a dynamic model. The sliding mode filter has been recognized one of the most effective and robust filters, and its evaluation results [3][4][5] and applications [6][7][8][9][10][11][12][13][14] have been reported in the literature. However, the filter is prone to overshooting.…”