PSO and DE Based Tuning of PID Controller in AVR System G.E.N.GANESH
Electrical and Electronics Engineering
A.U. College of Engineering (A)
Visakhapatnam, India eswaranagaganesh@gmail.com K.VAISAKH, Ph.D
Electrical and Electronics Engineering
A.U. College of Engineering (A)
Visakhapatnam, India vaisakh_k@yahoo.co.in Abstract— In this paper, determination of optimal parameters of a PID controller in an Automatic Voltage Regulation (AVR) system by the approach of Particle Swarm Optimization (PSO) and Differential Evolution (DE) Techniques is presented. This paper demonstrated in detail how to employ the PSO and DE methods to search efficiently the optimal PID controller parameters of an AVR system. A MATLAB simulation has been performed. The proposed approach had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency. In order to assist estimating the performance of the PID controller using PSO and DE, Minimum Error Integral (MEI) criterion Integral Absolute Error (IAE), Integral Square Error (ISE), Integral Time Absolute Error (ITAE) and Integral Time Square Error (ITSE) are used.
Keywords— AVR system, Differential Evolution, Particle Swarm Optimization, PID controller, tuning of controller.
Introduction
The main aim of automatic voltage regulation system is to hold terminal voltage constant. The characteristics of alternator output required are constant voltage and constant current. To get the
It is observed that the power factor is maintained closer to unity when the input voltage is reduced from 230V to 110Vrms. Figure 11 (a) and (b) shows the power factor correction of controller for various load condition such as 20% (60W) and 75% (230W). The power factor for the system is found to be 0.84 for light load condition and 0.99 for full load condition. The THD of input current at full load with predominant third and fifth harmonic components are shown in Figure 12(a) and (b).Third harmonics is found to be 4.8% and fifth harmonic component is 4.9% which are well within IEC 61000-3-2 standard during wide range of load variations. The variation in power factor with load is shown graphically in Figure 13(a). It can be inferred from the graph that improved resettable control operates at high power factor for all load condition whereas the conventional PI control has poor power factor under light load conditions. Figure 13(b) shows the comparison between the efficiency of the converter for varying load conditions with the conventional control method and the resettable integrator control. The converter’s efficiency is maintained at 92% for light load conditions and 96% for fully loaded condition with integrator control technique. Thus the improved resettable integrator controller provides a very simple and reliable solution for power factor correction and
C. B. Prakash and R. S. N. Naik, "Tuning of PID Controller by Ziegler-Nichols Algorithm for Position Control of DC Motor," International Journal of Innovative Science, Engineering & Technology, vol. 1, no. 3, pp. 379–382, May 2014.
The main drawback of sinusoidal commutation is that the motor currents are controlled which are time variant and thus PI controllers have to operate on limited bandwidth. Hence using field oriented control the currents in a, b, c reference frame are transformed to d-q reference frame. Thus controllers are not subjected from time variant currents and voltages and limitation of controller frequency response and phase shift on motor speed and torque is eliminated.
With the advent of modern controls theory and in the semiconductor technology, the use of high sophisticated technologies, advance digital controllers and embedded systems which include microprocessors, DSPs (digital signal processors), ASICs (application-specific integrated circuits), and FPGAs (field-programmable gate arrays).in the area of AC power control have become global challenges nowadays[1]. Recently FPGAs have become a good alternative answer and have been generally accepted as a tool for the controller`s platform in high performance embedded control system[2]. This device completely give inventors the ad-liberty to use their design customs
Firstly. These days there are two unique sorts of autos i: e Battery auto and Ignition auto. The primary electric auto can be made by broad engines ' was absolutely new plan with draw lessening tires and brakes
The second motivation theory is the Integrated Control Theory. The Integrated Control Theory offers a design for analyzing and processing work motivation and organizational problem solving. It allows individuals to develop expectations, plan and execute actions, receive environmental feedback, compare feedback to expectations and adjust behavior accordingly (Klein, 1989). Klein chose the name "control theory" because it is a compilation of various overlapping theories of motivation. The theory also incorporated behavioral changes. Klein 's integrated control theory model is a "meta-theory" of motivation and integrates a number of concepts important to human motivation. Klein 's resulting meta-theory focuses on different components of motivation. Klein 's model includes goal setting, feedback, expectancy, and attribution theory (1989). There are several components incorporated into the Integrated Control model such as goals, performance, feedback, individual characteristics, and behavioral changes. Organizations must ensure they have certain practices in place to successfully adopt and support the Integrated Control Theory particularly during organizational change. According to Campion and Lord (1982), to increase employee performance, managers need to ensure that employees have specific and challenging goals, which result in better performance. Without a specific standard and clear feedback, an employee will not be able to recognize errors and then will not engage in
This project offered the opportunity to simulate the voltage profile of an IEEE sample distribution feeder. Through an iterative process, this can be accomplished using a series of calculations. To achieve this goal, the simulation package Matlab was used as the driving force behind the programming and calculating.
“Management control describes the means by which the actions of individuals or groups within an organization are constrained to perform certain actions while avoiding other actions in an effort to achieve organizational goals” (Management Control, 2016). Today’s managers use strategic methods to improve their business foundations to add value to their customers, their own excellence and performance. There are methods that organizations use to sustain excellence through controls, monitoring performance and financial aspects. Quality plays a definitive role in organizations regardless of the product or service they provide. How organizations create control processes, measure and conform to the necessities to reach their objective and
Concept of Design. Understanding the design process is a means to organize the actual design-build. It is imperative to understand what to build, so as to solve the problem. Literature review in this area demonstrated commonalities in robotic systems, based on theory, modeling, and control. Robotic kinematics, dynamics, localization, navigation, sensing, and control must be considered in the design. When building robotic systems and subsystems, the engineer and design team have to account for the action of each system and how that system interacts with other systems. Trade-offs and sacrifices may have to be made in the design between characteristics, and desired capabilities; especially if it is an add-on feature (Kira, Arkin, & Collins, 2010).
applied to find out the optimal generation of each unit when the generation cost curves are non-smooth and discontinuous in nature. Most of the PSO algorithms suffer from the problem of premature convergence in the early stages of the search and hence are unable to locate the global optimum. The idea here is to exercise proper control over the global and local exploration of the swarm during the optimization process. The PSO_TVAC based approach for practical non-convex ELD problem is tested on four test systems having different sizes and non-linearities. Out the four, two test systems are with valve point loading effects, one system has POZ and one system has a large dimension with 38 generating units. The PSO_TVAC is found to
In this study, we focused on the typical Computational Intelligence algorithm: Particle Swarm Optimization (PSO). PSO is a useful utility swarm intelligence
In 2017, S. Kayalvizhi et. al. [49] presented a paper “Frequency Control of Micro Grid with Wind Perturbations using Levy Walks with Spider Monkey Optimization Algorithm.” In this paper, a new eagle strategy, which is a combination of levy flights and SMO, is utilized in the optimization of the gains of PI controllers which helps in regulating the frequency of the micro grid. A typical micro grid test system and a real time micro grid setup at British Columbia are the two case studies considered, in which the frequency control is implemented. The implementation is done in two-step search process; in the first place, levy flights do the random search and after that SMO does a thorough local search. Results demonstrate that the proposed method outperforms the results of other well-known algorithms and is
Neha Kundariya, Jyoti Ohri in their research paper titled ‘Design of Intelligent PID Controller using Particle Swarm Optimization with different Performance Indices’ proposed a PSO based PID controller for controlling of DC shunt motor using different performance indices like Integral of Time multiplied by Absolute Error (ITAE), Integral of Absolute magnitude of Error (IAE) and Integral of Square of Error (ISE). From the results obtained, it was found that integral time of absolute error(IAE) gives better results in time domain compared to other performance indices PID control
PID controllers are the most widely-used type of controller for industrial applications. They are structurally simple and exhibit robust performance over a wide range of operating conditions. In the absence of the complete knowledge of the process these types of controllers are the most efficient of choices.
(i)To design, construct and test a AC voltage regulator using SCR. (ii)To design, construct and test a DC voltage regulator using SCR. APPARATUS REQUIRED: AC VOLTAGE REGULATOR: S.No 1 2 3 4 5 6 7 8 Name of the Apparatus Transformer SCR Diode Resistor Bread Board Connecting Wires CRO DRB Range 230V/12V 2P4M BY 127 100 k 12 k Quantity 1 2 2 2 1 1 As required 1 1