Terms Of Peak Overshoot Research Articles

Hardware-in-the-loop testing of grid-tied PMSG-based wind power generation system with optimum PI parameters

The regulators based on PI control law continue to be the key elements in many of the industrial systems for their control. Likewise, the wind power generation systems (WPGSs) also make extensive use of PI regulators in their control schemes. The enhanced performance of these WPGS depends on proper selection of the PI regulator parameters. This paper deals with the control of a grid-tied permanent magnet synchronous generator (PMSG)-based WPGS wherein, a new attempt has been depicted to apply the most optimum design of the involved PI regulator parameters for the proposed WPGS based on standard performance indices making use of four popular optimization algorithms namely genetic algorithm (GA), cultural algorithm (CA), particle swarm optimization (PSO) and artificial bee colony (ABC). An informative discussion has also been presented which would be useful for practicing engineers/researchers to select flexibly and reasonably the PI regulators parameters meant for the control of the proposed WPGS. A detailed simulation model developed in MATLAB/Simulink has been used to analyze the performance of the proposed PMSG-based WPGS employed with the most optimum values of PI regulator parameters. The performances of WPGS have been compared while the most optimum PI regulator parameters have been included in the control system, and also when incorporating the PI regulator parameters in WPGS control designed via classical d-partition technique. The results obtained under gradually changing wind speed profile show the improvement in the performance of WPGS in terms of peak overshoot, time response and waveform oscillations. The experimental validation of the control performances have been carried out by way of real-time hardware-in-the-loop (HIL) testing making use of Typhoon HIL402 emulator and TMS320F28335 digital signal controller. The obtained real time HIL results are in close agreement to the results obtained in simulations using MATLAB/Simulink. A deviation of less than 4% was observed in the percentage overshoot/undershoot of the PMSG speed and DC link voltage determined through simulation and experimental means under various wind speed conditions.

Hybrid Optimized PI Controller Design for Grid Tied PV Based Electric Vehicle

Nowadays, researchers are becoming increasingly concerned about developing a highly efficient emission free transportation and energy generation system for addressing the pressing issue of environmental crisis in the form of pollution and climate change. The introduction of Electric Vehicles (EVs) solves the challenge of emission-free transportation while the necessity for decarbonized energy production is fulfilled by the installation and expansion of solar-powered Photovoltaic (PV) systems. Hence, this paper focuses on designing an effective PV based EV charging system that aids in stepping towards the achievement of a pollution free future. For overcoming the inherent intermittency associated with PV, a novel DC-DC converter is designed by integrating both Trans Z-source converter and Luo converter, which offers remarkable benefits of high conversion range, lesser voltage stress and excellent efficiency. A novel robust Lion Grey Wolf Optimized Proportional Integral (LGWO-PI) controller is designed for significantly strengthening the operation of the integrated converter in terms of peak overshoot, Total Harmonic Distortion (THD) and settling time. A 3φ Voltage Source Inverter (VSI) is employed to convert the stable DC output from the PV system to AC, which is then used for driving the Brushless Direct Current Motor (BLDC) motor of EV. The speed of the BLDC is regulated using a PI controller. The BLDC motor gets the power supply from the grid during the unavailability of PV based power supply. The grid is integrated with the designed EV charging system through a 1φ VSI and the process of grid voltage synchronization is carried out with the application of PI controller. The simulation for evaluating the operation of the presented EV charging system is done using MATLAB and the attained outcomes have validated that this introduced methodology delivers enhanced performance with optimal efficiency of 97.6% and lesser THD of 2.1%.

Position control of a DC servo motor using various controllers: A comparative study

In contrast to Direct Current (DC) motors, the angular position of a DC servo motor (DSM) can be regulated at a specific angle using a control signal. Due to its high power rating and speed, DSM is frequently preferred. The aim of the study is to compare the time domain characteristics of system response using proportional (P), proportional-integral (PI), proportional-integral-derivative (PID) controller, state-feedback controller (SFC), and SFC with Integral Action (SFCIA). The DSM is a 3rd order system, and the study differentiates different types of controllers for position control of the DSM in MATLAB. The P, PI, and PID controllers are designed by the Ziegler and Nichols (ZN) method. The SFC is designed by determining the state feedback gain matrix using Ackermann’s formula. However, the SFCIA is designed by placing the poles and adding an integrator to the DSM. According to the simulation results, SFCIA has the best performance in terms of peak overshoot (Mp) and settling time (ts) as compared to other controllers (P, PI, PID, and SFC). The proposed method could be applied to the higher-order systems also.

Fuzzy Logic Control for Solar PV Fed Modular Multilevel Inverter Towards Marine Water Pumping Applications

This paper presents the design and implementation of Modular Multilevel Inverter (MMI) to control the Induction Motor (IM) drive using intelligent techniques towards marine water pumping applications. The proposed inverter is of eleven levels and has the ability to control the speed of an IM drive which is fed from solar photovoltaics. It is estimated that the energy consumed by pumping schemes in an onboard ship is nearly 50% of the total energy. Considering this fact, this paper investigates and validates the proposed control design with reduced complexity intended for marine water pumping system employing an induction motor (IM) drive and MMI. The analysis of inverter is carried out with Proportional-Integral (PI) and Fuzzy Logic (FL) based controllers for improving the performance. A comparative analysis has been made with respect to better robustness in terms of peak overshoot, settling time of the controller and Total Harmonic Distortion (THD) of the inverter. Simulations are undertaken in MATLAB/Simulink and the detailed experimental implementation is conducted with Field Programmable Gate Array (FPGA). The results thus obtained are utilized to analyze the controller performance, improved inverter output voltage, reliable induction motor speed control and power quality improvement by reduction of harmonics. The novelty of the proposed control scheme is the design and integration of MMI, IM drive and intelligent controller exclusively for marine water pumping applications.

An experimental investigation of scalar control-based induction motor drive using digital signal processor

This paper presents hardware implementation of anti-windup proportional integral (AWPI) controller-based scalar control of three phase induction motor (IM) drive using digital signal processer (DSP). The space vector pulse width modulation (SVPWM) is used generally for motor control application. The proposed control scheme is built on DSP which reduces speed error by using AWPI controller. The response of AWPI controller is used to modify amplitude and speed reference of rotating vector in stationary plane. The controller performance is assessed by MATLAB/Simulink simulation results and validated by experimental results using TMS320F28335 DelfinoTM kit. A comparative assessment is also presented between conventional PI controller and proposed controller. The proposed AWPI controller gives the better performance in terms of peak overshoot and settling time during transient conditions.

Analysis of Energy Storage Device in Hydro-Thermal Power Systems Using Fuzzy Logic Controller

This work presents the Automatic generation control in an interconnected hydro-thermal power system to stabilize the frequency oscillations due to load changes. Advantage of facts devices are utilized here to improve the stability of the system. Thyristor controlled phase shifter (TCPS) is added in the tie line whose input is the area control error. The output of the phase shifter is the change in phase angle based on the error. The TCPS-RFB (Redox flow battery) and TCPS - SMES (Superconducting magnetic energy storage) combinations are compared against each other in terms of peak overshoot and settling time. The results proves that SMES is most effective than RFB. Then the LFC of hydrothermal plant with TCPS in tie line and SMES in one area is analyzed with different controllers like P, PI, PID and Fuzzy logic controller to find the best controller for these specific applications. The criterion for comparison remains to be the same. And finally fuzzy logic controller is found to best among the ones under consideration.

Performance Comparison between PID Controller and State-Feedback Controller with Integral Action in Position Control of DC Motor

This paper presents the design of PID controller and State-Feedback controller with integral action to control the position of DC motor.PID controller is tuned using Ziegler-Nichol’s rules. State-Feedback controller is designed by determining the state feedback gain matrix using Ackermann’s formula. The aim of this paper is to compare the time domain characteristics of system response between PID controller and State feedback Controller with integral action. The Simulation results are demonstrated using MATLAB.Graphical User Interface (GUI) is developed for both the controllers. According to the Simulation result, State-Feedback controller with integral action has the better performance in terms of peak overshoot and settling time as compared to PID controller.

Application of AI supported optimal controller for automatic generation control of a restructured power system with parallel AC–DC tie lines

SUMMARYAn optimal controller has been designed for automatic generation control (AGC) of two‐area restructured power system. The performance of the controller has been studied for two cases: (a) when the tie line connecting the two areas consists of parallel EHVAC and HVDC lines and (b) when HVDC link is absent and only ac tie line acts as interconnection. The comparison has been done for the two cases in terms of time taken to damp out oscillations of frequency in each area, tie‐line power exchange between the two areas and power generated by each generator when there is change in load. The simulation results indicate that control performance improves when HVDC link is connected in parallel with EHVAC tie line and output of the dc block is considered as additional state for the optimal controller. Detailed simulation studies were carried out for load demand by DISCOs as per cotracted condition as well as for bilateral contract violation condition. Optimal controller gives better dynamic response compared to conventional PI controller. AGC dynamic response is further improved by using combined optimal fuzzy controller. Particle swarm optimization (PSO) technique has been used for tuning the fuzzy controller. The results of the two area thermal–thermal system indicate better control performance in terms of peak overshoot and settling time by PSO tuned combined optimal fuzzy controller as compared to the un‐tuned controller. Copyright © 2011 John Wiley & Sons, Ltd.