The advances in MIMO systems and networking technologies introduced a revolution in recent times, especially in wireless and wired multi-cast (multi-point-to-multi-point) transmission field. In this work, the distributed versions of self-tuning proportional integral plus derivative (SPID) controller and self-tuning proportional plus integral (SPI) controller are described. An explicit rate feed...

This paper describes the design of a new self-tuning controller to control tip trajectory and tip deflection of a two-link flexible manipulator handling variable payloads based on nonlinear autoregressive with moving average and exogenous input (NARMAX) model. This proposed adaptive controller consists of a multivariate proportional integral and derivative (PID) feedback loop. The gains of the ...

The idea of pole-region assignment is extended to interval gain and phase margin assignment. The internal model control proportional-integral-derivative IMC-PID design is examined from the frequency domain point of view. Equations for typical frequency domain specifications such as gain margin, phase margin and bandwidth are derived for the IMC-PID design. The gain and phase margins are monitor...

An approach is proposed to design the intelligent electrode position controller for UHP by using nonlinear scaling and fuzzy self-tuning PID control algorithm. First, nonlinear scaling of controlled variable that compensate the nonlinearity of the object is proposed. Second, a fuzzy self-tuning PID electrode position control algorithm is designed and the parameters of the fuzzy inference are op...

This paper describes a PI fuzzy adaptive control structure. Based on classical PI fuzzy control structure (with integration on controller output) the authors have developed, implemented and validated an on-line self-tuning mechanism of regulator’s parameter. A study case for validation of proposed tuning mechanism is presented and analyzed with application to control of synchronous generator ex...

This paper describes a method to design rulebased fuzzy adaptive controllers. The rules are learnt from the observed behaviour of a virtual self-tuning feedback (PID) controller. The designed controller is supposed to support typical control requirements (i.e. fast-following, zero steady state error, overshoot suppression, etc.) using only a small number of rules.

This paper provides a comparative study on the performances of standard PID and adaptive PID controllers tested on travel angle of a 3-Degree-of-Freedom (3-DOF) Quanser bench-top helicopter. Quanser, a well-known manufacturer of educational bench-top helicopter has developed Proportional Integration Derivative (PID) controller with Linear Quadratic Regulator (LQR) for all travel, pitch and yaw ...

This paper proposes a design method of self-tuning generalized minimum variance control based on ondemand type feedback controller. A controller, such as generalized minimum variance control (GMVC), generalized predictive control (GPC) and so on, can be extended by using coprime factorization. Then new design parameter is introduced into the extended controller, and the parameter can re-design ...

The calibration of today’s spark ignition (SI) engine control systems is a complex and costintensive procedure. To cope with increasing demands in performance issues on the one hand and lowering costs on the other hand, a design procedure combining an approximate simulation model with a self tuning algorithm has been developed. In this paper a performance indices based self tuning method for SI...

in this paper, a two-surfaces sliding mode controller (tssmc) is proposed for the voltage tracking control of a two input dc-dc converter in application of electric vehicles (evs). the imperialist competitive algorithm (ica) is used for tuning tssmc parameters. the proposed controller significantly improves the transient response and disturbance rejection of the two input converters while prese...