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Application of Variations of Cohort Intelligence in Designing Fractional PID Controller for Various Systems

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Socio-cultural Inspired Metaheuristics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 828))

Abstract

The socio-inspired algorithm is widely used for engineering applications. Recently, Cohort intelligence (CI) algorithm, a socio-inspired algorithm has been applied to various control systems controlled by fractional order controller. The Cohort intelligence algorithm has already been successfully applied in unconstrained test problems, various mechanical applications, combinatorial problem such as 0–1 Knapsack Problem, healthcare domain, practical applications of multiple Knapsack problems and selection of cross-border shippers problem. In this book chapter, variations of cohort intelligence will be applied for the various control system including first-order system, second-order system, fractional-order system, and higher order systems. Optimization algorithms are used for the design of various controllers likethe classical PID controller, MPC controller, fractional-order controller, and various model-based controllers. Also, these algorithms can be used to estimate the parameters of various systems to model them. Various optimization techniques have beenapplied for designing controllers like genetic algorithm, particle swarm optimization (PSO), electromagnetism-like algorithm, improved differential evolution, etc. Most of these methods are not able to find global optimal solution for the given plant. Besides, these methods don’t properly tune for all varieties of systems. Variation of CI algorithm can be applied to different types of control system problems.

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Acknowledgements

We would like to acknowledge the FOMCON project for development of fractional calculation code.

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Authors and Affiliations

  1. Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, 412115, India

    Pritesh Shah & Anand J. Kulkarni

  2. Odette School of Business, University of Windsor, 401 Sunset Avenue, Windsor, ON, N9B3P4, Canada

    Anand J. Kulkarni

Authors
  1. Pritesh Shah
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  2. Anand J. Kulkarni
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Corresponding author

Correspondence to Pritesh Shah .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, India

    Anand J. Kulkarni

  2. ABV-Indian Institute of Information Technology and Management Gwalior, Gwalior, Madhya Pradesh, India

    Pramod Kumar Singh

  3. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  4. Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran

    Ali Husseinzadeh Kashan

  5. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore

    Kang Tai

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Shah, P., Kulkarni, A.J. (2019). Application of Variations of Cohort Intelligence in Designing Fractional PID Controller for Various Systems. In: Kulkarni, A.J., Singh, P.K., Satapathy, S.C., Husseinzadeh Kashan, A., Tai, K. (eds) Socio-cultural Inspired Metaheuristics. Studies in Computational Intelligence, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-13-6569-0_9

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