Abstract
This article presents a second generation current conveyor (CCII) based PID controller that has been optimally designed using a crossover improved genetic algorithm (CIGA). PID controller is widely adopted in practical industrial applications and the current conveyors are being favored because of their enhanced characteristics. Thus, designing a PID controller using the current conveyors would augment its performance. Another unique aspect of the reported research work is the utilization of a crossover improved genetic algorithm for finding the controller’s transfer function. The controller has been optimally designed taking into consideration the unit step response characteristics. Subsequently, AD844 IC was used for practical implementation of the controller and the experimental observations are reported, which are found to be in good agreement with simulation as well as theoretical results.
Similar content being viewed by others
References
Abdalla KK, Bhaskar DR, Senani R (2012) Configuration for realizing a current-mode universal filter and dual-mode quadrature single resistor controlled oscillator. IET Circuits Devices Syst 6(3):159–167
Appasani B et al (2017) A crossover improved genetic algorithm and Its application in non-uniform linear antenna arrays. Int J Comput Intell Appl 16(4):1750027
Aronhime P (1974) Transfer-function synthesis using a current conveyor. IEEE Trans Circuits Syst 21(2):312–313
Erdal C, Kuntman H, Kafali S (2004) A current controlled conveyor based proportional-integral-derivative (PID) controller. J Electr Electron Eng 4(2):1248
Goldberg DE (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, New York
Gupta P, Appasani B, Verma VK, Ranjan RK (2017) PSO based CCII PID controller for a continuous stirred tank reactor system. 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai, 2017, pp 2786–2789
Gupta P et al (2019) A series expansion method aided design of current mode second generation current conveyor based active control circuit. Microsyst Technol 25(6):2323–2330
Lu Y, Liang Q, Huang X (2018) Parameters self-tuning PID controller circuit with memristors. Int J Circuit Theory Appl 46(1):138–154
Safari L, Minaei S (2016) A simple low voltage, high output impedance resistor based current mirror with extremely low input and output voltage requirements, IEEE International Conference on Telecommunications and Signal Processing, Vienna, Austria, pp. 254–256
Sedra AS (1989) The current conveyor: history and progress, IEEE International Symposium on Circuits and Systems, Portland, USA, pp. 1567–1571
Senani R et al (2016) Sinusoidal oscillators and waveform generators using modern electronic circuit building blocks. Springer, Switzerland
Tek H, Fuat A (1989) Voltage transfer function synthesis using current conveyors. Electron Lett 25:1552–1553
Toumazou C, Lidgey FJ, Haigh DG (1992) Analogue IC design: the current mode approach. Peter Peregrinus Ltd., London
Verma VK et al (2018) A series expansion method aided design of CCII controller for a TITO system. Microsyst Technol 24(9):3843–3849
Wilson B (1990) Recent developments in current conveyors and current-mode circuits, IEE Proceedings Circuits, Devices and Systems, 137(2):63–77
Yang XS (2009) Firefly algorithms for multimodal optimization. Stochastic algorithms: foundations and applications. Lecture notes in computer science. Springer, Berlin, pp 169–178
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Verma, V.K., Ranjan, R.K., Lekshmi, V. et al. A second generation current conveyor based PID controller optimized using a crossover improved genetic algorithm. Microsyst Technol 26, 1449–1454 (2020). https://doi.org/10.1007/s00542-019-04677-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00542-019-04677-9