scholarly journals Information Fusion Based Decoupling Control for Multivariable Nonlinear System

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Ziyang Zhen ◽  
Ju Jiang ◽  
Zhisheng Wang ◽  
Xinhua Wang
Keyword(s):  
Nonlinear System ◽  
Information Fusion ◽  
Control Method ◽  
Robot Manipulator ◽  
Multiple Input Multiple Output ◽  
Computational Cost ◽  
Decoupling Control ◽  
Future State ◽  
Coupled Channels ◽  
Input Multiple Output

A decoupling control method based on information fusion estimation for a nonlinear system is presented in the paper. For each main channel and its coupled channels of the system, according to the information fusion theorem, the estimation of the system future state is obtained by fusing the information of the desired output trajectory of the system. Furthermore, approximate optimal control rule is obtained by fusing the system future state information and the control energy soft constraint information. Then an information fusion based decoupling control (IFBDC) system is established for the nonlinear coupled multiple-input multiple-output systems. This system cannot only control every channel to track reference signals, but also control any channel to be decoupled with other channels. Finally, a robot manipulator system is given to investigate the effectiveness of the decoupling control strategy, analyze its key parameters, and analyze the computational cost. The simulation results show that the IFBDC method is characterized by adjustable decoupling degree and high control quality.

Multivariable predictive functional control of a compound power-split hybrid electric vehicle

2021 ◽  
pp. 095440702110466
Author(s):  
Ji Gao ◽  
Diming Lou ◽  
Tong Zhang ◽  
Liang Fang ◽  
Yunhua Zhang
Keyword(s):  
Hybrid System ◽  
Hybrid Electric Vehicle ◽  
Control Method ◽  
Multiple Input Multiple Output ◽  
Area Network ◽  
Control Effect ◽  
Decoupling Method ◽  
Input Multiple Output ◽  
Objective Control ◽  
Pure Delay

The Corun hybrid system (CHS) is a deeply coupled multiple-input–multiple-output (MIMO) hybrid system. The two inputs are the torques of the two motors. The two outputs are the carrier speed and transmission output torque. Using the traditional control method, the multi-objective control quality cannot be guaranteed because of the adopted static decoupling method and proportional–integral–derivative (PID) controllers. In this paper, the problems of the traditional control method are carefully analyzed, and a new control method is proposed. Instead of static decoupling, dynamic decoupling is adopted to improve the decoupling control effect. A predictive functional controller instead of a PID controller is adopted to deal with the pure delay caused by controller area network (CAN) communication. The tracking effect of the target value is further improved by predictive functional controllers. For the two decoupled subsystems, that is, the integral system and the second-order underdamped system, two predictive functional controllers are designed. The new control method was verified by simulations and tests. The results show that the new control method is superior to the traditional control method for CHS.

Some Advances in Energy Recycling Semiactive Vibration Suppression

2008 ◽  
Vol 56 ◽  
pp. 345-354 ◽  
Author(s):  
Junjiro Onoda
Keyword(s):  
Power Supply ◽  
Vibration Suppression ◽  
Control Method ◽  
Multiple Input Multiple Output ◽  
Piezoelectric Transducers ◽  
Vibrating Structures ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Self Powered ◽  
Shunt Circuit

This paper summarizes some studies performed by the author's group on energy-recycling semiactive vibration suppression using piezoelectric transducers embedded in the vibrating structures and shunted on switched inductive circuits. Basic idea of this method is to suppress the vibration by controlling the switch in the shunt circuit, which was first introduced by Richard C., et al. This idea has been upgraded by introducing (1) a multiple-input-multiple-output (MIMO) control method for the switches in the shunt circuits, (2) a self-sensing method to estimate the state of structure from the voltage across the piezoelectric transducer, so that any additional sensors can be neglected, and (3) a self-powered shunt circuit that performs the semiactive vibration suppression without any power supply. Several numerical and experimental results showed that the method works well against transient, sinusoidal, and random multi-modal vibrations and suppresses the vibrations effectively. It was also shown that the method is very robust, and, with it, the system is always stable. Studies for various applications of this method are also discussed.

AN ANALYSIS AND MIMO EXTENSION OF A DOUBLE EWMA RUN-TO-RUN CONTROLLER FOR NON-SQUARED SYSTEMS

2003 ◽  
Vol 10 (04) ◽  
pp. 417-428 ◽  
Author(s):  
RAMKUMAR RAJAGOPAL ◽  
ENRIQUE DEL CASTILLO
Keyword(s):  
Semiconductor Manufacturing ◽  
Control Method ◽  
Moving Average ◽  
Multiple Input Multiple Output ◽  
Processing Step ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Average Control ◽  
Controllable Factor ◽  
Weighted Moving Average

The double EWMA (exponentially weighted moving average) control method is a popular algorithm for adjusting a process from run to run in semiconductor manufacturing. Until recently, the dEWMA controller had been applied only for the single controllable factor (or input), single quality charcteristic (or output) case. Recently, Del Castillo and Rajagopal4 propose a multivariate double EWMA controller for squared multiple-input, multiple-output (MIMO) processes, where there is an equal number of inputs and outputs. This paper extends the MIMO dEWMA controller for non-squared systems. Two different MIMO dEWMA controllers are presented and their performance studied with application to a Chemical-Mechanical Polishing (CMP) process, a critical semiconductor manufacture processing step that exhibits non-linear dynamics.

scholarly journals Joint Angles and Mutual Coupling Estimation Algorithm for Bistatic MIMO Radar

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Jianfeng Li ◽  
Xiaofei Zhang
Keyword(s):  
Mutual Coupling ◽  
Multiple Input Multiple Output ◽  
Computational Cost ◽  
Estimation Algorithm ◽  
Mimo Radar ◽  
Coupling Coefficients ◽  
Angle Estimation ◽  
One Dimensional ◽  
Input Multiple Output ◽  
The One

We study the problem of angle estimation for a bistatic multiple-input multiple-output (MIMO) radar with unknown mutual coupling and proposed a joint algorithm for angles and mutual coupling estimation with the characteristics of uniform linear arrays and subspaces exploitation. We primarily obtain an initial estimate of DOA and DOD, then employ the local one-dimensional searching to estimate exactly DOA and DOD, and finally evaluate the parameters of mutual coupling coefficients via the estimated angles. Exploiting twice of the one-dimensional local searching, our method has much lower computational cost than the algorithm in (Liu and Liao (2012)), and automatically obtains the paired two-dimensional angle estimation. Slightly better performance for angle estimation has been achieved via our scheme in contrast to (Liu and Liao (2012)), while the two methods indicate very close performance of mutual coupling estimation. The simulation results verify the algorithmic effectiveness of our scheme.

scholarly journals ADAPTIVE TRACKING CONTROL FOR TWIN ROTOR MULTIPLE-INPUT MULTIPLE-OUTPUT BASED ON ISS STABILIZATION

2016 ◽  
Vol 54 (5) ◽  
pp. 672
Author(s):  
Nguyen Van Chi
Keyword(s):  
Tracking Control ◽  
Control Method ◽  
Multiple Input Multiple Output ◽  
Adaptive Controller ◽  
Uncertain Parameters ◽  
Vertical Movements ◽  
Adaptive Tracking Control ◽  
Input Multiple Output ◽  
Cable Force ◽  
Twin Rotor

This paper proposes the angle tracking control method for Twin rotor multi-input multiple-output (TRMS) using the input-to-state stability theory (ISS) for nonlinear systems. To apply this theory, the model of TRMS is rewritten by an Euler-Lagrange forced model with uncertain parameters and input disturbances. The uncertain parameters are the potential energies depended on the mass of TRMS’parts and the input disturbances are considered the friction force, the flat cable force, the effects of the speed of the main rotor on the horizontal movement and the speed of tail rotor to the vertical movements. Using modificated model of TRMS, we design the adaptive controller for angle ISS stabilization to attenuate the influences of uncertain parameters and input disturbances to the angles of TRMS. The robustness of the closed system is shown by the the stabilization of the angles with the yaw and pitch external disturbances, the simulation and experimental results help to proof the rightness of proposed method.

A General Approach to Low-Level Control of Heavy Complex Hybrid Hydromechanical Transmissions

2018 ◽  
Author(s):  
L. Viktor Larsson ◽  
Petter Krus
Keyword(s):  
Engine Speed ◽  
Dynamic Properties ◽  
Multiple Input Multiple Output ◽  
Decoupling Control ◽  
Level Control ◽  
Straightforward Manner ◽  
Low Level ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Pressure Output

This paper focuses on the low-level control of heavy complex hydraulic hybrids, taking stability and the dynamic properties of the included components into account. A linear model which can describe a high number of hybrid configurations in a straightforward manner is derived and used for the development of a general multiple input multiple output (MIMO) decoupling control strategy. This strategy is tested in non-linear simulations of an example vehicle and stability requirements for the low-level actuators are derived. The results show that static decoupling may be used to simplify the control problem to three individual loops controlling pressure, output speed and engine speed. In particular, the pressure and output speed loops rely on fast displacement controllers for stability. In addition, it was found that the decoupling is facilitated if the hydrostatic units have equal response. The low-level control of heavy complex hydraulic hybrids may thus imply other demands on actuators than what is traditionally assumed.

Minimum redundancy MIMO array synthesis with a hybrid method based on cyclic difference sets and ACO

2015 ◽  
Vol 9 (1) ◽  
pp. 35-43 ◽  
Author(s):  
Jian Dong ◽  
Ronghua Shi ◽  
Ying Guo
Keyword(s):  
Hybrid Method ◽  
Numerical Experiments ◽  
Multiple Input Multiple Output ◽  
Computational Cost ◽  
Difference Sets ◽  
Cyclic Difference Sets ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Virtual Array ◽  
Array Aperture

As a recently proposed concept, multiple-input multiple-output (MIMO) radars exhibit much higher spatial resolution than traditional transmitter based radars because of the synthesized virtual array. In this paper, the problem of minimum redundancy (MR)-MIMO array synthesis is addressed, which seeks to maximize the virtual array aperture of MIMO radars for a given number of transmitting and receiving elements. A hybrid method combining autocorrelation property of cyclic difference sets (CDSs) and global search characteristics of ant colony optimization (ACO) is proposed for a rapid and numerically-effective exploration of MR-MIMO array configurations. Numerical experiments validate the proposed method, showing improvements in convergence rate and computational cost with respect to bare ACO-based search as well as improvements in the generality and configuration variety with respect to the CDS-based method.

scholarly journals Low Complexity Submatrix Divided MMSE Sparse-SQRD Detection for MIMO-OFDM with ESPAR Antenna Receiver

VLSI Design ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Diego Javier Reinoso Chisaguano ◽  
Minoru Okada
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Minimum Mean Square Error ◽  
Multiple Input Multiple Output ◽  
Computational Cost ◽  
Low Complexity ◽  
Detection Process ◽  
Large Size ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Ofdm

Multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) with an electronically steerable passive array radiator (ESPAR) antenna receiver can improve the bit error rate performance and obtains additional diversity gain without increasing the number of Radio Frequency (RF) front-end circuits. However, due to the large size of the channel matrix, the computational cost required for the detection process using Vertical-Bell Laboratories Layered Space-Time (V-BLAST) detection is too high to be implemented. Using the minimum mean square error sparse-sorted QR decomposition (MMSE sparse-SQRD) algorithm for the detection process the average computational cost can be considerably reduced but is still higher compared with a conventional MIMOOFDM system without ESPAR antenna receiver. In this paper, we propose to use a low complexity submatrix divided MMSE sparse-SQRD algorithm for the detection process of MIMOOFDM with ESPAR antenna receiver. The computational cost analysis and simulation results show that on average the proposed scheme can further reduce the computational cost and achieve a complexity comparable to the conventional MIMO-OFDM detection schemes.

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