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The interactions between input/output variables are a common phenomenon and the main obstacle encountered in the design of multi-loop controllers for interacting multivariable processes. In this paper, a method for controlling multivariable processes is presented. The controller design is divided into two parts: firstly, a decoupling matrix is designed in order to minimize the interaction effects...
The nonlinear fuzzy PID control strategy, which combines nonlinear control, fuzzy control and PID control, is put forward in this paper to deal with the control of a class of nonlinear and large inertia plants under complicated and large variation conditions. The proposed control strategy can adjust control parameters timely and appropriately according to the dynamic characteristics of the systems,...
Based on the cabin pressure regulating system characters of the nonlinear, larger inertia and time varying parameter, the arithmetic of fuzzy immune feedback (FIMF) was proposed to adjust PID control parameters real time and increase response and control capability of pressure loop, and using immune algorithm adjusting pressure loop control parameters real time which has optimizing performance and...
The dynamics of electro hydraulic servo system (EHSS) in pipe expanding process are highly nonlinear. The system may be subjected to large extent of model uncertainties, non-smooth and discontinuous nonlinearities of asymmetry proportional-servo valve, asymmetry cylinder, friction, etc. To address these challenging issues, the nonlinear character of asymmetry cylinder actuated by asymmetry valve was...
In a nuclear power plant, the water level in the steam generator (SG) is one of main causes that shutdown the reactor, this problem has been of great concern for many years as the SG is a highly nonlinear system showing inverse response dynamics. For controlling the SG water level at a certain range, adaptive neuro-fuzzy inference system (ANFIS) PID controller is designed. It is based on the adaptive...
Traditionally automotive powertrain research and development have been conducted with electromagnetic dynamometers. The ever increasing demand for reducing fuel consumption and emissions has driven the innovation of new technologies in engines, transmissions, and hybrid systems, which in turn requires significant flexibilities and transient capabilities of the dynamometer. Given its superior power...
The paper describes a nonlinear robust tracking control strategy and its on-line implementation for servo-controlled pneumatic systems. The pneumatic actuator system is initially transformed into a linear system description and then a robust servo/tracking controller is developed. Since there exists an inverse transformation for the new co-ordinate system, the designed servo control is transformed...
This paper discusses and analyses precise hydraulic pressure control of VVVF hydraulic system. The mathematical model of system is established and PID control law is adopted. Numerical simulation of PID controller is carried out with the SIMULINK of MATLAB. In the non-linear, time-varying VVVF hydraulic system, however, conventional PID control often cannot satisfy the request of precise pressure...
This paper concerns the design of robust and high precision performance controller. Optimum fuzzy PID controller is developed with the aim to achieve high performance and to reduce tracking errors. Mathematical model is developed that includes a dynamic friction model to accounts for main nonlinearities. To acquire the global optimal state proposed controller is optimized by using genetic algorithm...
A control scheme of ANN-based PID controller is developed here to reach high precision tracking control for an electro-hydraulic servo system. The PID controller is used as a feedback controller to guarantee the system stability. The cerebellar model articulation controller (CMAC) neural network is used as a feed-forward compensator to identify the inverse system dynamics model. The CMAC and the PID...
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