Mathematical Problems in Engineering

Volume 2015 (2015), Article ID 976925, 11 pages

http://dx.doi.org/10.1155/2015/976925

## Robust Control of Neutral System with Time-Delay for Dynamic Positioning Ships

^{1}College of Automation, Harbin Engineering University, Harbin 150001, China^{2}The Institute of Automation of Heilongjiang Academy of Science, Harbin 150001, China^{3}School of Science, Harbin Engineering University, Harbin 150001, China^{4}College of Mechanics and Electronics Engineering, Harbin Engineering University, Harbin 150001, China

Received 1 June 2014; Revised 14 July 2014; Accepted 16 July 2014

Academic Editor: Yuxin Zhao

Copyright © 2015 Dawei Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

Due to the input time-delay existing in most thrust systems of the ships, the robust controller is designed for the ship dynamic positioning (DP) system with time-delay. The input delay system is turned to a neutral time-delay system by a state-derivative control law. The less conservative result is derived for the neutral system with state-derivative feedback by the delay-decomposition approach and linear matrix inequality (LMI). Finally, the numerical simulations demonstrate the asymptotic stability and robustness of the controller and verify that the designed DP controller is effective in the varying environment disturbances of wind, waves, and ocean currents.

#### 1. Introduction

The dynamic positioning (DP) systems of ships keep floating structures in fixed position or predetermined track for marine operation purpose exclusively by means of active thrusters [1]. Conventional DP control systems are designed based on linearization PID controllers in each degree of freedom combined with notch-filters. Subsequently linear optimal controller combined with Kalman filter theory was proposed [2, 3]. In recent years, the nonlinear controllers and estimators were employed to handle the inherent nonlinear characteristics of the vessel dynamics [4, 5]. In [6–8], Lyapunov methods and back-stepping technique were used to design a passive nonlinear observer to estimate the vessel velocity. Many scholars have studied the DP controllers but they did not consider the time-delay in the ship thrust system.

Time-delays as a source of instability and poor performance often appear in many dynamic systems, so it is very important to make a stability analysis of systems with time-delays. In vessel’s DP control, the time-delays generally exist in thruster driver, including main propellers, tunnel thrusters, azimuth thrusters, and rudders. Compared with the rapidly changed instructions from the controller, the response time of thrusters, which generally lasts several seconds, is longer. Therefore, it is crucial to take account of the time-delay during the design of the DP controller. In the past, many useful approaches have been applied to guarantee the stabilization and the performance of systems. Recently, more attention has been paid to the delay-dependent system which, in general, can be considered as less conservative than the delay-independent ones. By using the Lyapunov-Razumikhin functional approach or the Lyapunov-Krasovskii functional approach, several stability criteria have been proposed for the delay-dependent systems [9–18]. Based on a model transformation and Park’s inequality, a delay-dependent stability criterion for the uncertain neutral systems with time-varying discrete delay was proposed in [10]. Reference [11] proposed a delay-dependent stability criterion for time-varying delay systems by means of an augmented model. In [12], the triple integral Lyapunov-Krasovskii functional approaches which utilized more information about the states and the delay states were proposed. Scholar Min Wu proposed the free weighting matrix method to avoid the conservatism of the transformation results, but it requires more possible decidable variables which make the computation quite complex [13, 14]. References [15–17] proposed the delay-decomposition approach, that the delay interval is uniformly divided into equidistant subintervals, and proposed a new delay-dependent stability criterion. The above researches for the stability of time-delays system are to increase the upper bound of the stability condition and reduce the conservatism of the algorithm. The controllers are often utilized to stabilize the unstable systems or improve the system’s performance [18]. Reference [19] proposed an observer-based controller for the uncertain neutral time-delay systems. Shariati proposed an controller for a linear system with time-delay, which used composite state-derivative feedback [20]. Reference [21] proposed a nonfragile controller for the discrete-time descriptor systems with multiple state delays. Reference [22] proposed a Lyapunov function with a piecewise analysis method for the semi-Markovian jump systems with mode-dependent delays. The state-derivative feedback can effectively improve the performance of the controller and it is generally used in practical systems such as the mechanical system and the ship DP system, where the accelerometers and the velocity sensors are used for measuring the system’s motion. Moreover, the acceleration feedback can suppress varying disturbances, and the use of acceleration feedback in DP control problems has been discussed in [8].

In this paper, the robust control problem for the neutral time-delay system has been considered. The less conservative results were derived for the neutral system with state-derivative feedback by a delay-decomposition approach and LMI method. The robust controller is used in the ship DP control systems, and the designed closed-loop control law with speed and acceleration feedback enables DP controller to perform better and resist external environmental disturbances greatly.

This paper is organized as follows. In Section 2, the problem formulation for the DP system is discussed. In Section 3.1, the performance analysis is proposed. In Section 3.2, the state-derivative feedback controller is designed for the neutral time-delay system. Simulation results are provided in Section 4, which demonstrate the effectiveness and the advantages of the proposed controller under the ocean disturbances. Conclusions are given in Section 5.

#### 2. Problem Formulation and Preliminaries

Here, the model of ship DP system with time-delay is established. The equations of motion of surface vessels can be described by the following model [1]:where is the position and orientation of the vessel with respect to an inertial reference coordinate system and is a vector of velocities given in the body-fixed coordinate system; is the transformation matrix between the inertial and body-fixed coordinate frames; is a control vector of forces and moments provided by the propulsion system. Generally, time-delay exists in the propulsion system, which means the input delay exists in the ship control system; is the disturbance input of the system. The inertia matrix includes hydrodynamic added inertia; is a strictly positive damping matrix due to linear wave drift damping and laminar skin friction; is the mass of the ship; is the moment of inertia. , , , and are the accessional mass caused by liquid forces, respectively.

The time-delays mainly existing in the ship’s propulsion system are considered in this paper, and the formula (1) is transformed into the state-space model of the vessel with time-delay as follows:where is the system state including the position, heading, and velocities of vessel; is the system input and also is the control vector of forces and moments with time-delay provided by the propulsion system; is the time-delay in the propulsion system; is a constant matrix describing the actuator configuration; is the disturbance input of the system caused by the environment disturbances from wind, currents, and waves; is the controlled system output. The matrices , are assumed to be known.

In ship DP system, a variety of sensors are installed to measure the state of the ship motion, such as global position system (GPS) for measuring the ship’s position, attitude sensor for measuring the pitch, roll and heave, and so forth, and gyrocompass for measuring the ship’s heading. Using the measured information for feedback control is a practical approach of the ship motion control. Velocity feedback in the DP controller can improve the performance of the control system. High-precision commercial inertial measurement units, which are used to measure the acceleration in the positioning control of vessels to suppress varying disturbances, can be easily interfaced with the existing control systems. Lindegaard used the acceleration feedback to increase the performance of DP systems [8]. Acceleration feedback (AFB) will provide a virtual mass in addition to the physical mass of the vessel. Therefore, the vessel becomes less sensitive to the environmental excitations.

Using the state-derivative feedback control law in the position control as well as the velocity and acceleration feedback can suppress varying disturbances. The aim of this paper is to design the composite control law as follows:where and are the controller gain to be designed; the design goal is to make the system (2) asymptotically stable and meet certain performance index, where , is the velocity vector of vessel, and is the acceleration velocity of vessel. The velocity and acceleration feedback loop is established by measuring the velocity and acceleration in the DP control of vessels to suppress varying disturbances in the sea environment. By applying the feedback control law (3), the input time-delay system (2) is turned into a time-delay closed-loop system of the neutral type which is described as follows:

Neutral time-delay systems contain delays both in its state and its derivatives of the state. As it is shown in (4), both the coefficients of and are dependent on the controller’s parameters. Thus, our objective is to design a state feedback controller , in which for a given , the following requirements are satisfied:(1)the closed-loop system (4) with is asymptotically stable;(2)under zero initial condition, the closed-loop system satisfies for any nonzero , where is a prescribed scalar.

In order to obtain the main results, we state the following well-known lemmas.

Lemma 1 (see [17]). *For any constant matrix , scalar , vector function such that the integrations concerned are well defined, then*

*Lemma 2 (see [18]). For given matrices , , , with the appropriate dimensions, holds if and only if , .*

*3. Main Results*

*In this section, the delay-dependent stability criterion for the neutral system (4) will be presented by means of the Lyapunov-Krasovskii functional approach. In order to derive less conservative stability criterion for the system (4), we employ the delay-decomposition approach for the neutral time-delay system and divide into several components by an integer with the length of each component denoted by ; that is,Therefore, represents a partition of the time-varying delay , which satisfies*

*3.1. Robust Stabilization*

*In this section, we focus on the analysis of the performance.*

*Theorem 3. Given scalar , the closed-loop system (4) with is asymptotically stable for a continuous time-varying state delay satisfying , if there exist some positive definite symmetric matrices , , , , , , , , such that the following symmetric linear matrix inequalities hold:whereThe asterisk represents the symmetric form of the matrix (8).*

*Proof. *Choose a suitable Lyapunov-Krasovskii function candidate for the system (4) as the following form:Here,whereNow calculate the derivative of along the state trajectory of the system (4). Employing Lemma 1, the following upper bound for can be obtained as follows:By simple derivations, get ; the upper bound for is obtained as follows:wherewherewhere .*Remark 1*. The decomposition number is a positive integer and is not less than 2. The conservatism will be reduced gradually as the is increasing, and the time-delay tends to the certain upper boundary. When equals 2 or 3, the conservatism is small enough.

By using Schur complement, the following matrix inequality is the equivalence of the condition :wherewherePremultiplying and postmultiplying the matrix in (17) by and , where and applying some change of variables, , , we obtain result (8); hence, we have , then system (4) with is asymptotically stable. This completes the proof.

*3.2. Robust Control*

*Theorem 4. Given scalar , the closed-loop system (4) is asymptotically stable and for a continuous time-varying state delay satisfying , if there exist positive definite symmetric matrices , , , , , , , . Moreover, the composite state-derivative feedback control law is given by , such that the following symmetric linear matrix inequalities hold:where the asterisk represents the symmetric form of the matrix (20):*

*Proof. *Choose the same Lyapunov-Krasovskii function given in (10) for the system (4) as the following form. Assuming the zero initial condition, that is, , , we can get . For a prescribed , take account of the performance index as follows:whereTherefore, the performance index (22) can be rewritten asThen for the random nonzero external disturbances , since and , we can obtainIntroducing (4) and (14) into the above, we can obtain the following inequality:With definedwherewhere

By using Schur complement, the following matrix inequality (29) is the equivalent of the condition of :wherewherePremultiplying and postmultiplying the matrix in (29) by , and applying some change of variables, , , it is easy to know that the LMI (20) is satisfied, thenThereforeThe proof is completed.

*4. Simulations*

*4. Simulations*

*In order to validate the performance of the designed controller, the certain DP ship simulations and the marine simulation environments are accomplished in MATLAB7.0. The main parameters of the ship are referenced to the Marine Systems Simulator (MSS) developed by the Norwegian university of Science and Technology. The ship is named as S-175. The ship’s main parameters are set as follows. , , , and . Then, the matrices and in (1) can be obtained as follows:*

*The matrices , , and can be calculated according to formula (2). The marine simulation environment includes wind, waves, and currents. The simulation environments are set as the following: the wave model used in the paper is PM spectrum. The wave’s direction is 120 degree; the significant wave height is 5 m; and the peak frequency is 0.8 rad/s. The current direction is 90 degree, and the current speed is 0.2 m/s. The wind speed is 10 m/s; wind direction angle is 225 degree. The initial position of the vessel is . The final desired position is . When the is 0.5 and the maximum propeller delay is 3.07 sec, the gain matrix of the state feedback controller is calculated through LMI toolbox as follows:*

*We compare our results for neutral time-delay system in Theorem 4 with the results using the same state-derivative feedback in [20]. Table 1 shows the results of the upper bound of time-delay for different values of . It can be seen that the proposed state-feedback controller in this paper provides larger delay bounds than the previous results as listed in Table 1.*