Department of Electrical and Electronics Engineering
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Item Fractional Order Modeling and GA Based Tuning for Analog Realization with Lossy Capacitors of a PID Controller(IMECS, 2009-03) Mukherjee, Bijoy KrishnaIn this paper, first it has been studied how the performance of a PID controller deteriorates when implemented with lossy capacitors in its analog realization. Thereafter it has been shown that the lossy capacitors can be effectively modeled by fractional order terms. Finally, a novel GA based method has been proposed to tune the controller parameters such that the original performance is retained even though realized with the same lossy capacitors. Simulation results have been presented to validate the usefulness of the technique.Item Exploiting Fractional Order PID Controller Methods in Improving the Performance of Integer Order PID Controllers: A GA Based Approach(AIP, 2009-10) Mukherjee, Bijoy KrishnaThe paper is divided into three parts. The first part gives a brief introduction to the overall paper, to fractional order PID (PIλDμ) controllers and to Genetic Algorithm (GA). In the second part, first it has been studied how the performance of an integer order PID controller deteriorates when implemented with lossy capacitors in its analog realization. Thereafter it has been shown that the lossy capacitors can be effectively modeled by fractional order terms. Then, a novel GA based method has been proposed to tune the controller parameters such that the original performance is retained even though realized with the same lossy capacitors. Simulation results have been presented to validate the usefulness of the method. Some Ziegler‐Nichols type tuning rules for design of fractional order PID controllers have been proposed in the literature [11]. In the third part, a novel GA based method has been proposed which shows how equivalent integer order PID controllers can be obtained which will give performance level similar to those of the fractional order PID controllers thereby removing the complexity involved in the implementation of the latter. It has been shown with extensive simulation results that the equivalent integer order PID controllers more or less retain the robustness and iso‐damping properties of the original fractional order PID controllers. Simulation results also show that the equivalent integer order PID controllers are more robust than the normal Ziegler‐Nichols tuned PID controllers.Item Analysis of Parallel Control Structure for Efficient Servo and Regulatory Actions(Springer, 2017-10) Mishra, PuneetThis paper investigates an intriguing issue about the tuning aspects of the parallel control structures. This parallel control structure essentially decouples the servo action from the regulatory action and provides an opportunity to the control engineer for separately deciding the ability of the controllers for servo and regulatory action. This paper provides a thorough comparative study and thereby suggesting an appropriate combination of tuning rules for achieving better efficiency of the control structure. Three different well accepted tuning rules viz. Ziegler Nichols, Direct Synthesis (DS) and Gain Margin Phase Margin formulae have been considered and a critical analysis of the control tuning rules combinations have been performed. The performance of considered tuning rules combinations is assessed on the basis of a transient response criterion, i.e., overshoot, an error-based criterion, i.e., Integral of time-weighted absolute error for both setpoint and disturbance rejection, and a measure of controller output aggression, i.e., Integral of absolute rate of controller output. On the basis of performed studies for a first-order plus dead time system, it may be inferred that DS–DS tuning rule combination provided superior performance among all the considered cases for nominal as well as plant-model mismatch case.Item Optimization of PID controller with first order noise filter(IEEE, 2015) Mishra, PuneetMeasurement noise is one of the most widely and frequently experienced problems of an industrial working environment. The effects of measurement noise can be reduced by filtering the measurement signal. The aim of the current work is to explore (a) the optimum location of filter in the control loop and (b) the controller tuning in presence of measurement noise. In the present work, two locations are considered for placing the first order noise filter. One, in the feedback path after the sensor and, other cascaded with the derivative term. The controller and filter parameters were tuned using Particle Swarm Optimization (PSO) technique for a combined performance criterion composed of Maximum Overshoot and Integral Absolute Error (IAE). For studying the effectiveness of the proposed scheme, two simulations and a hardware based experiment on a speed control of a DC motor are considered. Based on these investigations, it can be concluded that the filter located in feedback path gives better performance as compared to the filter cascaded with the derivative term in a noisy environment.Item A fractional order parallel control structure tuned with meta-heuristic optimization algorithms for enhanced robustness(Sciendo, 2019-03) Mishra, PuneetThis paper studies an improved fractional order parallel control structure (FOPCS) for enhancing the robustness in anindustrial control loop having a first order process with dead time along with its tuning aspects. Since inclusion of fractionalorder calculus also increase the number of parameters to be determined for a particular control loops, tuning becomes anessential task. Four different tuning methods are considered to optimize the gains of parallel control structure (PCS) andFOPCS. Integral of time weighted absolute error for servo and regulatory problems along with overshoot value have beenconsidered for performance evaluation. Extensive simulation studies including change in setpoint and mismatch in process-model parameters have been carried out. On the basis of these studies, it was observed that FOPCS tuned by backtrackingsearch algorithm, outperformed all other controllers in terms of considered performance measuresItem Development of a Novel Strategy with Electrical Vehicles to Mitigate Frequency Aberration in Microgrid(IEEE, 2018) Mathur, Hitesh DattPower system complexity is growing rapidly with changing scenario of load characteristic. Microgrid is a feasible solution to cater to varying load for maintaining power quality parameters especially frequency and voltage. The microgrid, consisting of different types of intermittent sources and loads, is liable to a substantially high frequency aberration. This needs to be mitigated at a faster rate in order to supply quality power supply to consumers. This paper focuses on development of a novel control strategy for quick active power support by electric vehicles (EV) to suppress frequency deviation caused due to fluctuating load. This approach senses the frequency change and communicates with EV aggregator to supply required amount of active power to microgrid. It is simulated on MATLAB/Simulink platform and results obtained are encouraging in terms of critical parameters i.e. settling time and peak over/undershootItem Decentralized Frequency Control for an Isolated Microgrid using Nature Inspired Algorithms(IEEE, 2019) Mathur, Hitesh DattThis paper focuses on developing a decentralized control scheme for a microgrid (MG) to mitigate varying load perturbations. The proposed microgrid system consists of various independent generation systems, including solar, wind, a diesel engine generator, a fuel cell, a battery energy storage, an aqua electrolyzer, and a flywheel. A proportion-integral control scheme has been deployed for controlling each of the sources independently as all sources have different characteristics. The parameters (Kp and Ki) of each of the controller were tuned by three different nature-inspired algorithms. The advantage of having decentralized controller is to increase reliability and robustness of the system. Even if any controller fails to work, it may be ensured that frequency regulation is achieved by others. The algorithms used for optimizing controller parameters are genetic algorithm (GA), bacterial foraging (BF) and firefly algorithm (FA).Item A Comparison on PSO Optimized PID Controller for Inter-Area Oscillation Control in an Interconnected Power System(Springer, 2022-02) Mathur, Hitesh DattThis paper emphasizes on the development of control strategy for inter area oscillation suppression for a unified two-area hydro-thermal deregulated power system. A particle swarm optimization (PSO) optimized Proportional Integral Derivative (PID) controller is proposed for automatic generation control (AGC). Further comparison between different variants of PSO are carried out, where 6 different variants have been explored, which are success rate based PSO, evolution speed and aggregation degree factors based PSO, global-local best inertia weight based PSO, distance from global best based PSO, fixed inertia weight based PSO and varying acceleration coefficients based PSO. A comprehensive analysis of these optimization techniques are presented on the basis of major dynamic performance parameters, i.e. settling time and peak overshoot. Successive rate based PSO variant found best among these six variants.Item Modelling, Simulation, and Implementation of PID Controller on Quadrotors(IEEE, 2021) Bansal, Hari OmA quadrotor is a type of Unmanned Aerial Vehicle (UAV) that is popular for its vast applications due to its small size and maneuverability. UAVs fall under the category of drones. Drones are unmanned aircrafts or ships guided by remote control or on-board computers. They are high in demand because of their deployment for surveillance, product delivery, aerial photography and defence applications. Implementing a control system on a quadrotor can be very challenging due to its nonlinear functioning. Thus the motivation of this paper is to successfully implement the PID algorithm on the plant to achieve altitude and attitude control. This paper also compares a linearized plant system of the quadrotor with that of a nonlinear plant system. A mathematical model for the quadrotor, progressing from a uni dimensional to a three dimensional configuration has been derived. Newton-Euler equations have been used to develop the dynamic model. The simulation are carried out in MATLAB/SIMULINK environment and different PID controller tuning methods have been looked into for smoother control.