As the field of control engineering has evolved, its horizons have continually broadened. From regulation with simple proportional-integral-derivative (PID) loops, to model-based control and multivariable schemes, to explicit incorporation of uncertainty in robust and modern control theory, to hybrid and hierarchical architectures, and most recently, to control of and via networks, both theoret...

This paper proposes a novel method to designing an H ∞ PID controller with robust stability and disturbance attenuation. This method uses particle swarm optimization algorithm to minimize a cost function subject to H ∞ -norm to design robust performance PID controller. We propose two cost functions to design of a multiple-input, multiple-output (MIMO) and single-input, single-output (SISO) robu...

The key techniques of intelligent analysis instrument developed are proposed. Based on the technique of virtual instrumentation, the intelligent PID control algorithm to control the temperature of thermal analysis instrument is described. The dynamic character and the robust performance of traditional PID controls are improved through the dynamic gain factor, temperature rate change factor, the...

This paper deals with the stability problem of discrete-time and discrete-value (discretized/quantized) control systems in a frequency domain. The discretized (stepwise) nonlinear characteristic on a grid pattern is partitioned into two sections: bounded and sectorial areas. First, by considering a sectorial area over a specified threshold, the robust stability condition for nonlinear discrete-...

This paper deals with a new controlling mechanism that uses the classical PID and the latest Fuzzy control techniques in harmony to increase the efficiency of the existing methods. The proposed method is better than the previous pre-established methods in literatures in terms of various parameters like the rise time and overshoots values of the response. Basically, here in this design the three...

This paper concerns a robust control design for multi-loop operation of paralleled DC/DC converters in the presence of uncertainties. The system is composed of voltage-loop and current-loop subsystems. The PID controller is firstly designed to achieve the robust stability and robust performance of the voltage-loop. Then, the PI controller for the current-loop is designed to achieve the robust s...

In this paper, a new methodology to design robust sliding-PID tracking motion controllers for a certain class of nonlinear systems is presented. The methodology is based upon the combination of the conventional PID control, sliding-mode control in Filippov’s sense, and relative degree concepts. The tracking of desired motion trajectories is performed in the presence of nonlinearities, modeling ...

The paper deals with the design of robust controllers for uncertain SISO systems using genetic algorithm. The genetic algorithm represents an optimisation procedure, where the costs function to be minimized comprises the closed-loop simulation of the control process and a selected performance index evaluation. Using this approach the parameters of the PID controller were optimised in order to b...

We present the integration of artificial intelligence, robust, nonlinear and model reference adaptive control (MRAC) methods for fault-tolerant control (FTC). We combine MRAC schemes with classical PID controllers, artificial neural networks (ANNs), genetic algorithms (GAs), H∞ controls and sliding mode controls. Six different schemas are proposed: the first one is an MRAC with an artificial ne...