Nonlinearity is the inherent characteristics of all the industrial processes. The Classical control approach used for a generation often fails to show better results particularly for non-linear systems and in the systems, whose parameters changes over a period of time for a variety of reasons. Alternatively, adaptive control strategies provide very good performance. The Model Reference Adaptive...

in this paper the optimal design of a dissipator made of aluminium and steel and principallysubjected to shear forces and the preliminary results of the characterization tests are described.the device has been designed on the basis of an optimization procedure with the objective tomaximize the energy dissipated in the device. the response of a 3d frame equipped with thedevice and subjected to 7...

Nowadays high-tonnage drawing presses need a controlled cushion so that the force is controlled during the drawing process. Although with a classic force control algorithm, consisting of a non-linear feedforward loop and a closed loop PID control, the results are normally quite good, there are times when tuning up is difficult and performance diminishes significantly at high rates. A new force ...

Fuzzy PI controllers are using in the place of linear PI controller with success in process control, assuring better control quality criteria. The paper presents some methods, with a higher grade of generality, to design PI fuzzy controllers, to assure internal and external stability to control systems and better control quality criteria. Families of input-output transfer characteristics and ga...

This paper addresses analysis and design issues in adaptive PID control for linear second order minimal phase processes using the backstepping algorithm. The first step consists in adding an integral action to the basic backstepping algorithm to obtain a zero static error. An integrator is therefore added to the plant model and is then slid back to the controller equation at the end of the desi...

Ratio control for two interacting processes is proposed with a PID feedforward design based on model predictive control (MPC) scheme. At each sampling instant, the MPC control action minimizes a statedependent performance index associated with a PID-type state vector, thus yielding a PID-type control structure. Compared to the standard MPC formulations with separated single-variable control, su...

This paper proposes a method of determining the optimal proportional integral derivative (PID) controller parameters using the particle swarm optimization (PSO) technique. The stability of the power system is an important factor in the operation of any electric system. A PID controller with a power system stabilizer (PSS) has been developed to maintain the stability and enhance the performance ...

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...

OBJECTIVE To study the microbial characteristics of patients with pelvic inflammatory disease (PID) and the possible impact of an intrauterine device (IUD) on the microbial environment in women presenting with PID. METHODS Case-control study, investigating 51 women with acute PID and 50 healthy women. Endocervical specimens for microbiological investigation were obtained at gynaecological exa...

This paper presents an optimal method to tune the Proportional, Integral and Derivative (PID) controller for a hydraulic turbine coupled with the corresponding Transient Droop Compensator (TDC). The proposed methodology is based on the Desired Time Response Specification (DTRS) of the input guide vane servomotor that includes typical rate limiters and gain saturation in power plants. Therefore,...