This paper deals with the boiler control problem proposed as a benchmark for the IFAC Conference on Advances in PID Controllers (PID’12). This boiling process is a multivariable nonlinear system that shows interactions and is subjected to input constraints. As proposal, in this work, a PID control by inverted decoupling with feedforward compensation is developed. The design simplicity and easin...

This paper deals with the simplest fuzzy PID controllers which employ two fuzzy sets for each of the three input variables and four fuzzy sets for the output variable. Mathematical model for a fuzzy PID controller is derived by using asymmetric Γ-function type and L-function type membership functions for each input, asymmetric trapezoidal membership functions for output, algebraic product trian...

Three design methodologies, such as Internal Model Control (IMC), Generalized Predictive Control (GPC) and Two Degree-of-Freedom (TDF), for automatic tuning of PID parameters, have been reviewed, compared and applied to a laboratory plant with dead time. Tuning parameters are derived as a First-Order-Plus-Dead-Time (FOPDT) model. Dead time compensating PID controllers are assessed not only from...

Changes in operating conditions can alter performances of nonlinear processes controlled with a fixed PID algorithm. One way of preventing degradation is to develop a supervised control system. In this paper we present some results about fuzzy gain scheduling of a double PID controller for stabilization of an inverted pendulum on a cart. First, on the basis of the responses obtained with an uns...

The application of a self-organizing fuzzy proportional–integral–derivative (SOF-PID) controller to a multiple-input–multiple-output (MIMO) nonlinear revolute-joint robot arm is studied in this paper. The SOF controller is a learning supervisory controller, making small changes to the values of the PID gains while the system is in operation. In effect, the SOF controller replaces an experienced...

In this paper, parameters of PID controller and bias coefficient for Load Frequency Control (LFC) are designed using a new approach. In the proposed method, the power system uncertainties and nonlinear limitations of governors and turbines ,i.e. Valve Speed Limit (VSL)and Generation Rate Constraint (GRC), are taken into account in designing. Variations of uncertain parameters are considered bet...

Submitted: Jul 9, 2013; Accepted: Aug 17, 2013; Published: Oct 3, 2013 Abstract: This paper proposes a new type of PID controller. The desired multi inputmulti -output (MIMO) nonlinear system behavior is described by a set of Takagi-Sugeno (T-S) model. However, due to the complexity of the real processes, obtaining a high quality control with a short settle time, a periodical step response and ...

A novel fractional order (FO) fuzzy Proportional-Integral-Derivative (PID) controller has been proposed in this paper which works on the closed loop error and its fractional derivative as the input and has a fractional integrator in its output. The fractional order differ-integrations in the proposed fuzzy logic controller (FLC) are kept as design variables along with the input-output scaling f...

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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...