Hydraulic cranes are inherently nonlinear and contain components exhibiting strong friction, saturation, variable inertia mechanical loads, etc. The characteristics of these non-linear components are usually not known exactly as structure or parameters. For these reasons, tuning of the traditional PID controller parameters to control this system for the required performance faces a strong chall...

The paper deals with a new robust PID controller design method based on integrating requirements on transient performance into the popular frequency-domain Ziegler-Nichols design approach. The developed method provides support to the designer by converting identified ultimate plant parameters into PID controller parameters using variable weights that depend on expected maximum overshoot max an...

This paper proposes a model reference tracking based adaptive PID controller with adaptive mechanisms in both feedforward and feedback paths. The objective is to force the outputs of a not explicitly known multiple input multiple output (MIMO) linear time-invariant system to track the outputs of a known reference model. A PID controller is inserted to the feedback path. The parameters of the PI...

Continuous Stirred Tank Reactor (CSTR) is one of the common reactors in chemical process and all industrial process requires a solution of specific chemical strength of chemicals considered for analysis. In this paper, Particle Swarm Optimization (PSO) algorithm based PID controller tuning is attempted for the concentration control of Continuous Stirred tank reactor (CSTR). The Modeling can be ...

The Kbann approach uses neural networks to re ne knowledge that can be written in the form of simple propositional rules. We extend this idea further by presenting theManncon algorithm by which the mathematical equations governing a PID controller determine the topology and initial weights of a network, which is further trained using backpropagation. We apply this method to the task of controll...

In this study, a PID controller was designed for the active vibration suppression of a smart beam equipped with PZT (Lead-Zirconate-Titanate) patches. The smart beam is a cantilever aluminium beam having eight symmetrically located surface-bonded piezoelectric patches. In this particular application, a group of PZT patches closed to the root of the beam was used as actuators and from the remain...

Control of systems with time delay is difficult as compared to simple process control. Numerous parameters estimation techniques for the control implementation of non-linear systems with time delays are available in literature, but these techniques become cumbersome while tuning the system, due to complex calculation structure and wide ranges for tuning parameters. This paper describes and exam...

A strategy was proposed to determine the optimal operating point for the proportional-integral-derivative (PID) controller of a wind turbine, and identify the stability regions in the parameter space. The proposed approach combined particle swarm optimization (PSO) and radial basis function neural network (RBFNN) algorithms. These intelligent algorithms are artificial learning mechanisms that c...

The KBANN approach uses neural networks to refine knowledge that can be written in the form of simple propositional rules. We extend this idea further by presenting the MANNCON algorithm by which the mathematical equations governing a PID controller determine the topology and initial weights of a network, which is further trained using backpropagation. We apply this method to the task of contro...

This paper presents a method for tuning the scaling factors of PID type fuzzy controllers. The method tunes the input scaling factor related to change in error and the output scaling factor related to integral output of PID type of fuzzy controller using model error, error between reference model and process. Fuzzy Controller used is typical fuzzy PID type of controller in which the scaling fac...