Abstract
This paper proposes sliding mode control (SMC) and PID control-techniques for designing a controller for a second-order stable process. In this paper, the controllers are designed using sliding mode control and Skogestad internal model control (SIMC)-PID control technique and the parameters of these controllers are obtained by the particle swarm optimization (PSO) technique. MATLAB simulation is performed for the second-order plus delay time process (SOPDT) using step input. The results found by the proposed methods are compared with the recently reported methods in the literature. The proposed controller ensures more robustness to parameter variations and fast disturbance rejection capability.
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Kumar, S., Ajmeri, M. (2020). Design of Controllers Using PSO Technique for Second-Order Stable Process with Time Delay. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154. Springer, Singapore. https://doi.org/10.1007/978-981-15-4032-5_15
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DOI: https://doi.org/10.1007/978-981-15-4032-5_15
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