Designing of a PID controller is a very common method for industrial process control and due to its very simple and efficient function; it is used in a wide variety of industrial applications. PID controller to reduce the steady state error and dynamic response of the system is used. PID controller design is an inevitable problem in setting the coefficients need to try a lot of trial and error,...

Paper deals with implementation of self-tuning digital PID controller on general-purpose 8-bit Freescale 68HC908GB60 microcontroller which is a part of development board M68EVB908GB60 by Axiom Manufacturing. The process is identified using modified recursive least squares method with adaptive directional forgetting resulting in δ-model representation of controlled plant. This representation was...

This paper presents a new optimization algorithm to design an optimal proportional, integral, derivative (PID) controller in hydro-turbine generator governor for damping output frequency oscillations. In this research, we utilize a stochastic and optimal based PID controller to control frequency-response of the hydro turbine. The proposed algorithm is employed to design an optimal PID controlle...

Discrete Pulse Width Modulated controller for buck converter is described. The key building blocks are Analog to Digital converter, compensator, and digital pulse width modulator is introduced to meet the requirement of perfect output voltage regulation, high-speed dynamic response, and programmability. The discrete controller method bypasses errors related to the conversion from the continuous...

Feedback control is a control mechanism that uses information from measurements. In a feedback control system, the output is sensed. There are two main types of feedback control systems: 1) positive feedback 2) negative feedback. The positive feedback is used to increase the size of the input but in a negative feedback, the feedback is used to decrease the size of the input. The negative system...

This paper presents a new optimization algorithm to design an optimal proportional, integral, derivative (PID) controller in hydro-turbine generator governor for damping output frequency oscillations. In this research, we utilize a stochastic and optimal based PID controller to control frequency-response of the hydro turbine. The proposed algorithm is employed to design an optimal PID controlle...

Particle swarm optimization (PSO) is extensively used for real parameter optimization in diverse fields of study. This paper describes an application of PSO to the problem of designing a fractional-order proportional-integral-derivative (PID) controller whose parameters comprise proportionality constant, integral constant, derivative constant, integral order (λ) and derivative order (δ). The pr...

This paper describes a comprehensive methodology to obtain reduced-order models that satisfy the Prett-Garćıa digital PID tuning rules, using prefiltered AutoRegressive with eXternal input (ARX) estimation as a basis. The Prett-Garćıa tuning rules possess the advantage that they systematically relate all the controller parameters to the plant model and a low-pass filter with a single adjustable...

A new methodology is proposed to design digital PID controllers for multivariable systems with time delays. Except for a few parameters that are preliminarily selected, most of the PID parameters are systematically tuned using the developed plant state-feedback and controller state-feedforward LQR approach, such that satisfactory performance with guaranteed closed-loop stability is achieved. In...