BITS Faculty Publications
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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 measures