Abstract
In this study, an analytic comparison of the design for PID controller based on automatic voltage regulator (AVR) has been presented. The design of proportional-integral-derivative (PID) controller is categorized on the basis of optimization techniques inspired by nature. The objective has been achieved by taking some famous optimization techniques into consideration. These techniques are teaching–learning-based optimization (TLBO), bacterial foraging optimization algorithm (BFO), CAS (chaotic ant swarm), genetic algorithm (GA) and particle swarm optimization (PSO). Each method has been executed ten times with the same data set, and comparative analysis has been done in terms of transient and steady-state characteristics. The present study identifies the best optimization technique among various techniques to design PID controller for AVR.
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Uniyal, I., Sikander, A. (2018). A Comparative Analysis of PID Controller Design for AVR Based on Optimization Techniques. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_138
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DOI: https://doi.org/10.1007/978-981-10-5903-2_138
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