This paper presents a new control approach which can restrain the vibration of centrifuges. In the new scheme, changed support stiffness and self-tuning feed-forward PID control of the decreased vibration force are effectively combined. Some advanced techniques, (such as adaptive modification for unstable vibration regions, two-livel computer control, curve-traching control), are used to make the centrifuge system run in a minimum-vibration state. A horizontal centrifugal experiment is used to test the new control method. Experimental results show the effectiveness of the proposed scheme.

This paper presents a novel adaptive decoupling controller for general stochastic multivariable systems with arbitrary time delay structure. The decoupling controller is constructed using a diagonal dynamic precompensator to diagonalize the system interactor matrix and then combining the feed for ward control strategy and the generalized minimum variance approach. It cannot only control unstable and/or non-minimum phase processes but also decouple the closed-loop systems both dynamically and in the static state. It is adaptively implemented in direct form. The global convergence properties and parameter estimate consistency for this adaptive decoupling algorithm are also discussed. It is shown that this adaptive controller not only has globally convergent properties but also generates strongly consistent parameter estimates. The results of simulations and an application are proposed to demonstrate the effectiveness of the algorithm.

A direct adaptive tracking control architecture I proposed for a clss of continuous-time nonlinear dynamic systems, for which an explicit linear parameterization of the uncertainty in the dynamics in either unknown or impossible. The architecture employs fuzzy systems to approximate the optimal controller which is designed on the assumption that all the dynamics in the system are known, develops fuzzy sliding controller to compensate for the plant uncertainties, smooth the control signals and increase robustness. Global asymptotic stability is established in the Lyaunov sense, with the tracking errors converging to a neighborhood of zero. The simulation results verify the effectiveness of the proposed control algorithm.

Optimization is one of the key technologies of realizing CIMS for continuous processes. But for many industries in China, the quality of raw materials cannot be guaranteed, production circumstance is execrable and the boundary condition is sharp, so the traditional optimization methods are unable to wswolve the problem of their optimal-setting control. In this paper, a method of optimal-setting control based on integrated control is presented and employed to a sixc-zone walking beam (WB) reheat furnace. It has been proved this method can improve the slab heating quality and save energy greatly.

This paper describes a new multivariable adaptive decoupling controller combining a decoupling compensator with a generalized minimum variance technique. The controller can completely decouple closed-loop systems both dynamically and in the steay state. It can control an unstable and/or non-minimum phase system and it can control the process with an arbitrary time delay structure. The proof of global convergence for the algorithm is also given. Successful experimental results of the adaptive decoupling control for a pilot-scale binary distillation column demonstrate the effectiveness of the proposed adaptive decoupling algorithm.