Cascade Control of PM DC Drives Via Second-Order Sliding-Mode Technique

Abstract

This paper presents a novel scheme for the speed/\ud position control of permanent-magnet (PM) dc motor drives. A\ud cascade-control scheme, based on multiple instances of a secondorder\ud sliding-mode-control (2-SMC) algorithm, is suggested,\ud which provides accurate tracking performance under large uncertainty\ud about the motor and load parameters. The overall control\ud scheme is composed of three main blocks: 1) a 2-SMC-based\ud velocity observer which uses only position measurements;\ud 2) a 2-SMC-based velocity control loop that provides a reference\ud command current; and 3) a 2-SMC-based current control loop\ud generating the reference voltage. The proposed scheme has been\ud implemented and tested experimentally on a commercial PM dc\ud motor drive. The experimental results confirm the precise and\ud robust performance and the ease of tuning and implementation,\ud featured by the proposed scheme

Intelligent total sliding‐mode control with dead‐zone parameter modification for a DC motor driver

“…First, by choosing the values of k 1 and k 2 properly, the desired system DC motor payload encoder motor driver Atmel SAM3X8E Fig. 4 Microcontroller-based experimental setup for a DC motor driver specifications such as overshoot and settling time can be easily ensured by considering the second-order system in (5). Next, the parameters η α , η c , η σ , η h and η ω are the leaning rates of the tuning parameters in the FCMNN approximator.…”

“…In [4], a real-time adaptive estimation mechanism is investigated to estimate the bound of system uncertainty, yet the estimated bound may grow unboundedly. In [5,6], chattering-free adaptive integral sliding-mode control is considered. The discontinuous sign function is contained in the derivative control input and the actual control is obtained after integrating the discontinuous derivative control; however, the design procedure is overly complex and is not suitable for real-time applications.…”

Adaptive Cascade Generalized Predictive Control

“…  means filter by T in Equation (1). where θ is a vector of adjustable model parameters and k e is the corresponding error at time k .…”

“…It is widely used in practice, sometimes in a transparent way (embedded into the electronics of a servoactuator [1], controlled power supply [2], process control [3] etc.). The general block diagram of cascade control is shown in Figure 1.…”

Intelligent dynamic sliding-mode neural control using recurrent perturbation fuzzy neural networks

“…A common solution to improve the chattering is replacing the switching function with the saturation function; however, an indefinite steady-state error is caused depending on the selection of the boundary layer [3]. Another method is to use a dynamic sliding-mode control (DSMC) [4,5]. The actual control signal going into the system is obtained after integrating the discontinuous derivative control signal.…”