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In this paper presents a noval approach to design of PID controller for two input two output (TITO) system using Particle Swarm Optimization (PSO) technique. The PSO technique is used to find the global optimum values of PID parameters for TITO processes which help in easy implementation, stable convergence characteristic, better computational efficiency(More)
In this paper, performance comparison of evolutionary algorithms (EAs) such as modified particle swarm optimization (MPSO) and improved asynchronous particle swarm optimization (IAPSO) is considered. EAs simulations are carried with minimization of IAE and peak overshoot as objective using one type of stopping criteria, namely, maximum number of iterations.(More)
Trajectory tracking and stabilization of a nonlinear single stage inverted pendulum is a complicated control problem, as nonlinearity is present inherently and external factors affect the equilibrium position. Sliding mode control (SMC) is a robust control technique, most popular for nonlinear system's controlling. In this paper, a new model based robust(More)
In this paper, decentralized PID controller is designed for Two-Input Two-Output (TITO) processes using Cuckoo Optimization (CO) technique. The pair of PID controller parameters is designed at the same time because multi-dimensional non-linear problem could be easily solved by CO technique with higher convergence speed and less computational time. The(More)
In this paper, nature inspired cuckoo based proportional-integral-derivative controller is designed for nonlinear system. The cuckoo optimization is used to tune the parameters of PID controller. Performance criteria such as ISE, ITSE and IAE are optimized by using this optimization technique. For this optimum value of performance criteria, controller(More)
In this paper, a Modified Particle Swarm Optimization (MPSO) algorithm for optimizing the Proportional-Integral-Derivative (PID) controller parameters for stable process is presented. The proposed algorithm is to modify the velocity and position formula of the conventional PSO technique in order to improve computational efficiency and time complexity. The(More)
In this paper, PI-PD controller is designed for stable and unstable Single-Input Single-Output (SISO) processes. At first, the expression is derived using Routh stability criteria for Proportional-Derivative (PD) controller to stabilize the process then Proportional-Integral (PI) controller parameters are designed using Modified Particle Swarm Optimization(More)
A PID-P controller is designed for a class of nonLinear processes using Cuckoo Optimization (CO) techniqe, where a proportional controller is used in the inner feedback loop which increases the stability of the non-linear process and the PID controller is connected in feed forward path for desired response. The objective function for CO optimization(More)
This paper presents an approach for velocity and orientation tracking control of a nonholonomic mobile robot based on an adaptive controller. The developed PID controller is based on analog neural networks. The feed forward neural networks controller is trained on-line to find the inverse kinematical model, which controls the outputs of the mobile robot(More)