For some disturbances and model uncertainties of the multi-tank level system, we develop an adaptive nonlinear control law based on the neural network to achieve high performance control. A nonlinear model including the model uncertainties and disturbances is firstly built through carefully analyzing the multi-tank level system. Based on the model, the level controller is designed, in which the...

Many real time processes have complex, uncertain and nonlinear dynamics. Boilers are nonlinear, time varying, multi-input multi-output (MIMO) systems, whose states generally vary with operating conditions. The major problem in controlling that system is that its drum water pressure and steam flow dynamics include an integrator that results a critically stable behavior. Conventional controller p...

In this paper a new PID controller is presented. Its peculiarity consists in the non integer order of the derivative and integral, being this order variable in the range [0,1], and providing two further parameters to the controller. The key element is a Multi-layer Perceptron that evaluate a non integer order integration. The neural network approach allows to overcome some problems related to p...

Educational issues of Proportional, Integral (PI) and Proportional, Integral, and Derivative (PID) type controller design in undergraduate course on control, graduate course on control, advanced control topics are discussed. The main attention is devoted to multi-time-scale control systems where PI PID type controllers designed for nonlinear systems in the presence of plant parameter variations...

This paper presents a new intelligent control scheme which utilizes particle swarm optimization (PSO) for off-line tuning of proportionalintegral-derivative (PID) controller for the twin rotor multi-input multioutput system (TRMS). The control objective is to make the beam of the TRMS move quickly and accurately to the desired attitudes. The TRMS exhibits MIMO characteristics, high order non-li...

The objective of this paper is to compare the time specification performance between conventional controller PID and modern controller SMC for an inverted pendulum system. The goal is to determine which control strategy delivers better performance with respect to pendulum’s angle and cart’s position. The inverted pendulum represents a challenging control problem, which continually moves toward ...

Aiming at multi-disturbance characteristic of drum water level system, control system uses three impulse cascade control strategy. This paper designs three impulse cascade control combined of incomplete differential PID and immune P control, fully using the advantages of artificial immune feedback control and incomplete differential PID. Boiler drum level simulation result shows the cascade con...

This paper presents the design of an indirect adaptive feedback linearization (FBL)based control using dynamic neural networks (DNN) for full-car nonlinear electrohydraulic suspensions. Particle swarm optimization (PSO) algorithm is used in training the DNN to learn the dynamics of the system. A multi-loop, PSO-optimized proportional-integral-derivative (PID) control is implemented for the feed...

A new multi-objective particle swarm optimization algorithm is presented. The proposed multi-objective particle swarm optimization algorithm is based on a MaxiMin technique previously proposed for a multi-objective genetic algorithm. The technique is applied to optimize a benchmark function set and to the design of PID controllers regarding the objectives of set-point tracking and output distur...