pritesh shah

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

Socio-cultural Inspired Metaheuristics, 2019

The socio-inspired algorithm is widely used for engineering applications. Recently, Cohort intell... more 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 like the 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 been applied 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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Design of Controller for a Higher Order System Without Using Model Reduction Methods

Progress in Fractional Differentiation and Applications, 2017

In the industry, many plants are described by higher order sy stems. Most of the time, higher ord... more In the industry, many plants are described by higher order sy stems. Most of the time, higher order systems are approximat ed with the lower order system using model reduction method, an then the appropriate controllers are designed. In this pap er, the controller for higher order system is designed without using model redu ction methods. Instead, a fractional PID (FPID) controller is designed for higher order system. In simulations, ten different plants w ere examined, ranging from order 3 to order 7, with and withou delay. The time-domain optimal tuning of higher order systems was carr ied out using integrated squared error (ISE) as the performa nce index. Results indicate that the controller for higher order syste m can be designed without model reduction methods by using FP ID controller. The results of FPID controllers are also compared with class ic l PID controller. The FPID controller displayed robust p erformance; better gain and phase margin. The complementary sensitivit y and sensitivity functions are better achieved with FPID co ntroller. The FPID controller exhibits an iso-damping property (flat resp onse around gain crossover frequency) for higher order syst ems.

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$Research paper thumbnail of Design of a fractional PIλDμ controller using the cohort intelligence method$

Design of a fractional PIλDμ controller using the cohort intelligence method

Frontiers of Information Technology & Electronic Engineering, 2018

The cohort intelligence (CI) method has recently evolved as an optimization method based on artif... more The cohort intelligence (CI) method has recently evolved as an optimization method based on artificial intelligence. We use the CI method for the first time to optimize the parameters of the fractional proportionalintegral-derivative (PID) controller. The performance of the CI method in designing the fractional PID controller was validated and compared with those of some other popular algorithms such as particle swarm optimization, the genetic algorithm, and the improved electromagnetic algorithm. The CI method yielded improved solutions in terms of the cost function, computing time, and function evaluations in comparison with the other three algorithms. In addition, the standard deviations of the CI method demonstrated the robustness of the proposed algorithm in solving control problems.

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$Research paper thumbnail of Review of fractional PID controller$

Review of fractional PID controller

Mechatronics, 2016

Fractional calculus has been studied for over three centuries, and it has multifarious applicatio... more Fractional calculus has been studied for over three centuries, and it has multifarious applications in science and engineering. This review investigates its progress since the first reported use of control systems, covering the fractional PID proposed by Podlubny in 1994, and is presenting a state-of-the-art fractional PID controller, incorporating the latest contributions in this field. It highlights developments in the field of fractional PID controllers, including their design and tuning, as well as explores their various versions. Software tools associated to the design of fractional PID controllers are also discussed.

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$Research paper thumbnail of Review of fractional PID controller$

Review of fractional PID controller

Mechatronics, 2016

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$Research paper thumbnail of Design of fractional order controller for undamped control system$

Design of fractional order controller for undamped control system

2013 Nirma University International Conference on Engineering (NUiCONE), 2013

This paper deals with design of fractional order controller (PIλDμ) for undamped control system, ... more This paper deals with design of fractional order controller (PIλDμ) for undamped control system, where order of integrator and derivative are fractional. A more robust and optimal controller design can be achieved by using fractional order controller because there are two more parameters compare with classical PID controller. For tuning of fractional order controller, optimization method called nelder mead is used. Simulation result shows that fractional order controller can achieve better result compare with classical PID controller.

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Metaheuristic Algorithms in Industry 4.0

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