Hydropower Plant Frequency Control via Feedback Linearization and Sliding Mode Control

2011 ◽  
Author(s):  
Xibei Ding ◽  
Alok Sinha
Keyword(s):  
Feedback Linearization ◽  
Controller Design ◽  
Sliding Mode ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Hydropower Plant ◽  
Input State ◽  
Nonlinear Controller ◽  
Nonlinear Dynamic Model ◽  
Nonlinear Controller Design

This paper presents a new nonlinear controller design approach for a hydraulic power plant focusing on Load Frequency Control aspect. It is based on input state feedback linearization and sliding mode/H∞ control. Simulation results for a nonlinear dynamic model of entire hydropower plant are presented and compared to those from the classical linear PI controller. A novel two-stage scheme for the nonlinear controller design with integral feedback is presented for a fast transient response and zero steady state error.

Hydropower Plant Frequency Control Via Feedback Linearization and Sliding Mode Control

2016 ◽  
Vol 138 (7) ◽  
Author(s):  
Xibei Ding ◽  
Alok Sinha
Keyword(s):  
Feedback Linearization ◽  
Controller Design ◽  
Sliding Mode ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Hydropower Plant ◽  
Input State ◽  
Nonlinear Controller ◽  
Nonlinear Dynamic Model ◽  
Nonlinear Controller Design

This paper presents a new nonlinear controller design approach for a hydraulic power plant focusing on load frequency control aspect. It is based on input state feedback linearization and sliding mode/H∞ control. Simulation results for a nonlinear dynamic model of entire hydropower plant are presented and compared to those from the classical linear proportional-integral (PI) controller. A novel two-stage scheme for the nonlinear controller design with integral feedback is presented for a fast transient response and zero steady-state error.

scholarly journals Controller Design for the Rotational Dynamics of a Quadcopter

2019 ◽  
Vol 38 (2) ◽  
pp. 269-274
Author(s):  
Rabia Rashdi ◽  
Zeeshan Ali ◽  
Javed Rahman Larik ◽  
Liaquat Ali Jamro ◽  
Urooj Baig
Keyword(s):  
Mathematical Model ◽  
Degrees Of Freedom ◽  
Controller Design ◽  
Sliding Mode ◽  
Mechanical Systems ◽  
Euler Method ◽  
State Variables ◽  
Nonlinear Controller ◽  
Nonlinear Dynamic Model ◽  
Highly Nonlinear

Researchers have shown their interests in establishing miniature flying robots to be utilized for, both, commercial and research applications. This is due to that fact that there appears to be a huge advancement in miniature actuators and sensors which depend on the MEMS (Micro Electro-Mechanical Systems) NEMS (Nano-Electro Mechanical Systems). This research underlines a detailed mathematical model and controller design for a quadcopter. The nonlinear dynamic model of the quadcopter is derived from the Newton-Euler method and Euler Lagrange method. The motion of a quadcopter can be classified into two subsystems: a rotational subsystem (attitude and heading) and translational subsystem (altitude and x and y motion). The rotational system is fully actuated whereas translational subsystem is under actuated. However, a quadcopter is 6 DOF (Degrees of Freedom) under actuated system. The controller design of a quadcopter is difficult due to its complex and highly nonlinear mathematical model where the state variables are strongly coupled and contain under actuated property. Nonlinear controller such as SMC (Sliding Mode Controller) is used to control altitude, yaw, pitch, and roll angles.Simulation results show that the robustness of the SMC design gives a better way to design a controller with autonomous stability flight with good tracking performance and improved accuracy without any chattering effect. The system states are following the desired trajectory as expected.

Hydropower Plant Load Frequency Control Via Second-Order Sliding Mode

2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Xibei Ding ◽  
Alok Sinha
Keyword(s):  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Frequency Control ◽  
Second Order ◽  
Load Frequency Control ◽  
Hydropower Plant ◽  
Mode Control ◽  
Twisting Algorithm ◽  
Second Order Sliding Mode

Super-twisting algorithm, a second-order sliding mode control method, is studied for hydropower plant frequency control. Two versions of this algorithm are introduced in this paper. Simulation results from both of these second-order methods and regular sliding mode control are compared on the basis of system responses and control efforts. It is shown that the second-order sliding mode controller is able to reduce chattering effects associated with the regular sliding mode control and preserve the robustness of the regular sliding mode control as well.

scholarly journals Sliding mode controller design for frequency regulation in an interconnected power system

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Anand Kumar ◽  
Md Nishat Anwar ◽  
Shekhar Kumar
Keyword(s):  
Power System ◽  
Controller Design ◽  
Sliding Mode ◽  
Design Method ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Frequency Regulation ◽  
Sliding Mode Controller ◽  
Random Loading ◽  
Interconnected Power System

AbstractIn this paper, a Sliding mode controller design method for frequency regulation in an interconnected power system is presented. A sliding surface having four parameters has been selected for the load frequency control (LFC) system model. In order to achieve an optimal result, the parameter of the controller is obtained by grey wolf optimization (GWO) and particle swarm optimization (PSO) techniques. The objective function for optimization has been considered as the integral of square of error of deviation in frequency and tie-line power exchange. The method has been validated through simulation of a single area as well as a multi-area power system. The performance of the Sliding mode controller has also been analyzed for parametric variation and random loading patterns. The performance of the proposed method is better than recently reported methods. The performance of the proposed Sliding mode controller via GWO has 88.91% improvement in peak value of frequency deviation over the method of Anwar and Pan in case study 1 and similar improvement has been observed over different case studies taken from the literature.

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