Practical Feedback Controller Design for Micro-Displacement Positioning in Table Drive Systems

Practical Feedback Controller Design for Micro-Displacement Positioning in Table Drive Systems

This paper presents a practical feedback controller design of a ball screw-driven table system for the microdisplacement positioning. Friction of the mechanism in the micro-displacement region has nonlinear elastic properties, unlike Coulomb and/or viscous friction in the macro-displacement, resulting in different positioning responses and frequency characteristics of the plant depending on the...

Neural Controller Design for Suspension Systems

The main problem of vehicle vibration comes from road roughness. An active suspension systempossesses the ability to reduce acceleration of sprung mass continuously as well as to minimizesuspension deflection, which results in improvement of tire grip with the road surface. Thus, braketraction control and vehicle maneuverability can be improved consider ably .This study developeda new active su...

Design and Practical Implementation of a New Markov Model Predictive Controller for Variable Communication Packet Loss in Network Control Systems

The current paper investigates the influence of packet losses in network control systems (NCS’s) using the model predictive control (MPC) strategy. The study focuses on two main network packet losses due to sensor to controller and controller to actuator along the communication paths. A new Markov-based method is employed to recursively estimate the probability of time delay in controller to ac...

Decentralized risk-sensitive controller design for strict-feedback systems

Robust Output Feedback Controller Design for Linear Parametric Uncertain Systems

This paper proposes the guaranteed cost design of a robust output feedback controller for continuous linear parametric uncertain systems. New necessary and sufficient conditions for static output feedback stabilizability of linear continuous time systems underlay the design procedure. The proposed algorithms are computationally simple and tightly connected with the Lyapunov stability theory and...