In this paper, performance comparison of evolutionary algorithms (EAs) such as real coded genetic algorithm (RGA), modified particle swarm optimization (MPSO), covariance matrix adaptation evolution strategy (CMAES) and differential evolution (DE) on optimal design of multivariable PID controller design is considered. Decoupled multivariable PI and PID controller structure for Binary distillati...

This paper presents a method to get the optimal tuning of Proportional Integral Derivative (PID) controller parameters for an AVR system of a synchronous generator using Particle Swarm Optimization (PSO) algorithm. The AVR is not initially robust to variations of the power system parameters. Therefore, it was necessary to use PID controller to increase the stability margin and to improve perfor...

This paper presents a development of a self-tuning fuzzy PID controller to overcome the appearance of nonlinearities and uncertainties in the system. The self-tuning fuzzy PID controller is the combination of a classical PID and fuzzy controller. The controller is designed based on the expert knowledge of the system. Fuzzy logic is used to tune each parameter of PID controller. Appropriate fuzz...

3 System Control 12 3.1 PID Controller . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 3.2 Direct Inverse Control and Optimal Control . . . . . . . . . . . . 12 3.3 Feedback Linearization . . . . . . . . . . . . . . . . . . . . . . . . 13 3.4 Nonlinear Predictive Control . . . . . . . . . . . . . . . . . . . . 13 3.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...

This paper presents an implementation of self-tuned PID controller (FPID) for speed control of DC motor based on LabVIEW (Laboratory Virtual Instrument Engineering Workbench Environment). The algorithms of fuzzy PID controller (FPID) and conventional PID controller (CPID) are implemented using PID and Fuzzy Logic simulation toolkits of the Lab View environment. The simulation results demonstrat...

In this paper we present a new self-tuning procedure for PID controllers based on neuro-predictive control. A finite horizon optimal control problem is solved on-line, permitting to calculate the tuning parameters of the PID controller. The proposed method is implemented on a level-flow pilot plant and a comparison with conventional auto-tuning methods is also given.

This paper introduces an approach to near timeoptimal control for synchronous buck dc–dc converters. The proposed proximate time-optimal digital (PTOD) controller is a combination of a constant-frequency pulsewidth modulation (PWM) controller employing a linear PID compensator close to a reference point, and a linear or nonlinear switching surface controller (SSC) away from the reference, toget...

abstract: this paper presents dynamic modelling and control of a linear prismatic series of elastic actuator. the capability of generating large torques is why this actuator is increasingly used in human-assistive robotic systems. due to having human in the loop, the actuator requires precise control. a fractional pid controller known for its improved performance is used for the control, due to...

This paper proposes performance tuning methods for a PID controller for a robotic manipulator. The design procedures of an inverse optimal PID control method employed to assure extended disturbance input-to-state stability (ISS) are suggested. The performance tuning methods for an inverse optimal PID control are derived from the performance limitation and the bounds of the state vector. Also, t...

This paper presents the development of an on-line self-tuning algorithm for PID Controller to control the Governor using Successive approximation method. The successive approximation method is purely based on computational technique. The conventional PID controller is replaced by self tuning PID controller; to make them more general and to achieve minimum steadystate error, also to improve the ...