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Aiming at the characteristics that dynamic systems can be described by integral and differential equations involving non-integer orders, this tool is also introduced into fractional-order controllers, that is, controllers with fractional integral and differential. A modified genetic algorithm The integer order PID controller and the fractional order controller are used to simulate and compare the...
The ball and beam system is a widely used tool for learning classical as well as advanced control techniques. The system with highly non linear characteristics is an excellent tool to represent unstable systems. The paper presents an optimal control strategy for controlling the position of ball on the beam. The system is an open loop unstable system. The control problem is a challenging one as the...
In this paper a prototype of crude network tanks system is modeled from the first principle, the system is then controlled using the PID (Proportional Integral Derivative) control system, the PID tuning parameters are optimized successfully using Genetic algorithm based on control performance indices (i.e. Mean Square Error (MSE), integral square error (ISE), integral absolute error (IAE), and integrated...
Differential Evolution algorithm has recently emerged as a simple yet very powerful technique for real parameter optimization. This article describes an application of DE for the design of fractional order proportional Integral Derivative controller. FOPID controller parameter are composed of the proportional constant, integral constant, derivative constant, derivative order and integer order, and...
In this paper, an optimal adaptive controller using Genetic Algorithm for a ball and hoop system is proposed. It is difficult to design an optimal PID controller for a ball and hoop system because of its continuously varying parameters. The proposed scheme employs a PID controller with an ability to adjust its parameters when the dynamic behavior of the system changes, thus maintaining the optimality...
The paper presents two plants which use proportional-integral-derivative (PID) controller for obtaining the desired transient response. Ziegler Nichols (ZN) and Genetic Algorithm (GA) tuning methods are employed on both the plants affected by band-limited white noise, and the optimized parameters (viz. Settling Time and Peak Overshoot) are compared. The efficacy of system optimization by GA is being...
A multi-objective genetic algorithm is developed for the purpose of optimising the tuning parameters relating to the well-known Generalised Predictive Control (GPC) algorithm using a new ranking method based on Fuzzy Logic theory. A comparative study with the well-known Pareto-Ranking, Average, and Minimum Distance methods shows that the new proposed method is superior and leads to a more effective...
Proportional Integral Derivative (PID) controllers are extensively used in industry for process instrumentation application. PID controllers have also found widespread application in Power System Control. To achieve effective control optimal tuning of PID gains of the controller is necessary. This controller gain tuning problem is a multimodal non-convex optimization problem. This paper proposes a...
Due to its inherent nonlinearities and highly unstable nature with many practical applications i.e. high speed train, frictionless bearings, levitated wind tunnel etc., the Magnetic Levitation System (MLS) is considered as a good test-bench for design and analysis of control systems. This paper presents the design of PID controller for MLS based on an efficient method of tuning controller parameters...
Continuous Stirred Tank Reactor (CSTR) plays a significant role in chemical processes. The continued progress and growth of industry has increased the need for chemical and control integration with artificial intelligence. This paper presents the optimal design of PID & FOPID controller based on soft techniques i.e. Genetic Algorithm and Particle Swarm Optimization (PSO) approach for concentration...
This paper deals with the optimization of the performance of a high step up dc-dc converter characterized by a low ripple in the input current. The converter with a PID control has been designed for PEM Fuel Cell application in automotive environment. In this work, an optimization of the PID control design is presented, using two heuristic methods: the Genetic and Particle Swarm Optimization algorithms...
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